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Large-scale Text Mining for Biological Data
 
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Original version is here http://togotv.dbcls.jp/20110307.html In this video, Goran Nenadic who is a Senior Lecturer (Associate Professor) in the School of Computer Science, University of Manchester and a group leader in the Manchester Interdisciplinary BioCenter talks about text mining from biomedical literature. The talk has been at Workshop on Parallel and Distributed Processing of Large Genome Data organized by GCOE Program: Deciphering Genome Sphere from Genome Big Bang.
Views: 488 togotv
Data Mining in Genomics & Proteomics Journals | OMICS Publishing Group
 
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This video is about automatic extraction of useful, often previously unknown information from large databases. Data mining, now-a-days, is an important tool to transform data into information. Study of the genomes of organisms is nothing but Genomics. It deals with the organized use of genome information to ply new biological knowledge. Proteomics is the study of proteins, especially their structures and functions.It is an Open Access, peer reviewed, online journal by OMICS Publishing Group which encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomics, genomic, proteomic, and metabolomics data. There are many applications of data mining in real world. To access more information about Journal of Data Mining in Genomics & Proteomics please follow OMICS Publishing Group's official page http://www.omicsonline.org/jdmgphome.php
Data Mining in Genomics & Proteomics Journals OMICS Publishing Group
 
02:34
This video is about automatic extraction of useful, often previously unknown information from large databases. Data mining, now-a-days, is an important tool to transform data into information. Study of the genomes of organisms is nothing but Genomics. It deals with the organized use of genome information to ply new biological knowledge. Proteomics is the study of proteins, especially their structures and functions.It is an Open Access, peer reviewed, online journal by OMICS Publishing Group which encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomics, genomic, proteomic, and metabolomics data. There are many applications of data mining in real world. To access more information about Journal of Data Mining in Genomics & Proteomics please follow OMICS Publishing Group's official page
Highlighting Research: "Research in Transition" & "Increasing Enteral Protein Intake" - 6-6-2018
 
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This lecture is part of a series that provides continuing medical education for physicians. Course Objectives: Upon Completion of this activity, attendees should be able to: Research in Transition 1. Identify obstacles from bench research to bedside. 2. Recognize the benefits of a research career. Increasing Enteral Protein Intake in Critical Illness. 1. Understand the role of protein supplementation in critical illness 2. Understand mechanisms behind the benefits of enteral protein. 3. Evaluate literature regarding protein in critical surgical illness Introduction: Ronald V. Maier, MD, FACS, FRCS Ed (Hon) Jane and Donald D. Trunkey Endowed Chair in Trauma Surgery Professor and Vice Chairman, Department of Surgery University of Washington Harborview Medical Center Speakers: Saman Arbabi, MD, MPH Professor, Department of Surgery Division of Trauma Surgery University of Washington Harborview Medical Center Grant E. O’Keefe, MD, MPH Professor, Department of Surgery Division of Trauma Surgery University of Washington Harborview Medical Center 6/6/18 https://www.uwsurgery.org/departmentresources/upcoming-special-events/ http://uwtv.org
Views: 133 UWTV
BioInformatics 2019   10th International Conferenc
 
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BioInformatics 2019 - 10th International Conference on BioInformatics Models, Methods and Algorithms (ins) AS At Prague Prague, Czechia For more information: https://www.eventbrite.com/e/bioinformatics-2019-10th-international-conference-on-bioinformatics-models-methods-and-algorithms-tickets-46369302833?aff=RMV DESCRIPTION ============== BIOINFORMATICS is part of BIOSTEC, the 12th International Joint Conference on Biomedical Engineering Systems and Technologies. Registration to BIOINFORMATICS allows free access to all other BIOSTEC conferences. BIOSTEC 2019 will be held in conjunction with MODELSWARD 2019 and ICISSP 2019. Registration to BIOSTEC allows free access to the MODELSWARD and ICISSP conferences (as a non-speaker). The purpose of the International Conference on Bioinformatics Models, Methods and Algorithms is to bring together researchers and practitioners interested in the design and application of modelling frameworks, algorithmic concepts, computational methods, and information technologies to address challenging problems in Bioinformatics and Biomedical research. There is a tremendous need to explore how mathematical, statistical and computational techniques can be used to better understand biological processes and systems, while developing new methodologies and tools to analyze the massive currently-available biological data. Areas of interest to this community include systems biology and biological networks (regulatory, neuronal, predator-prey, ecological ones, etc.), sequence analysis, biostatistics, graph models, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas. Conference Co-chairs ========================== Ana Fred, Instituto de Telecomunicações / IST, Portugal Hugo Gamboa, LIBPHYS-UNL / FCT - New University of Lisbon, Portugal PROGRAM CHAIR =============== Elisabetta De Maria, Université de Nice Sophia-Antipolis, France Keynote Speakers Hossam Haick, Israel Institute of Technology, Israel Andres Diaz Lantada, Universidad Politecnica de Madrid, Spain Henrique Martins, Universidade da Beira Interior, Portugal SCOPE =========== There is a tremendous need to explore how mathematical, statistical and computational techniques can be used to better understand biological processes and systems, while developing new methodologies and tools to analyze the massive currently-available biological data. Areas of interest to this community include systems biology and biological networks (regulatory, neuronal, predator-prey, ecological ones, etc.), sequence analysis, biostatistics, graph models, image analysis, scientific data management and data mining, machine learning, pattern recognition, computational evolutionary biology, computational genomics and proteomics, and related areas. CONFERENCE TOPICS ======================= Simulation and Modeling Immuno- and Chemo-informatics Pattern Recognition, Clustering and Classification Computational Intelligence Model Design and Evaluation Transcriptomics Next Generation Sequencing Genomics and Proteomics Sequence Analysis Structural Bioinformatics Structure Prediction Databases and Data Management Structural Variations Image Analysis Visualization Formal Verification of Biological Systems Computational Neuroscience Data mining and Machine Learning Biostatistics and Stochastic Models Pharmaceutical Applications Systems Biology Algorithms and Software Tools Web Services in Bioinformatics Computational Molecular Systems Please contact the event manager Marilyn below for the following: - Discounts for registering 5 or more participants. - If your company requires a price quotation. Event Manager Contact: marilyn.b.turner(at)nyeventslist.com You can also contact us if you require a visa invitation letter, after ticket purchase. We can also provide a certificate of completion for this event if required. ---------------------------------- For more information: https://www.eventbrite.com/e/bioinformatics-2019-10th-international-conference-on-bioinformatics-models-methods-and-algorithms-tickets-46369302833?aff=RMV Eventbrite: https://www.eventbrite.com/o/event-promotions-by-new-york-events-list-11118815675 Twitter: https://twitter.com/nyeventslist Facebook: https://www.facebook.com/NewYorkEventsList New York Events List: http://nyeventslist.com/
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN :1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following Biomedical modeling and computer simulation Bioinformatics databases Bio-grid Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Parallel algorithms for biological analysis Parallel architectures for biological applications Phylogeny reconstruction algorithms Protein structure prediction Sequence assembly Sequence search and alignment Signaling and computation biomedical data engineering Simulated annealing Statistical analysis Stochastic grammars Support vector machines System biology DNA assembly, clustering, and mapping Telemedicine Computational genomics, Intelligence, proteomics, structural biology E-health Genetic algorithms Hidden Markov models Fuzzy logic Molecular evolution and phylogeny Molecular modeling and simulation Molecular sequence analysis High performance computing Neural networks Machine learning Data visualization
Views: 2 Ijics Journal
Stanford Webinar: Using Genomics, Wearables and Big Data to Manage Health and Disease
 
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Through genome sequencing, in combination with other omic information such as microbiome, methylome, metabolome, etc., data can be used to genetically predict disease risk. This information, combined with data collected through technology such as wearables, can help people manage disease and maintain healthy lives. Join Dr. Michael Snyder and Dr. Barry Starr as they explore the advances in genomic sequencing and how it can be used to predict, diagnose, and treat disease. You will learn: How genomics can be used to predict disease The poser of longitudinal profiling What data is collected from wearables and how they’re valuable to monitoring health How genome sequencing and big data can impact your health About the Speaker Michael Snyder is the Stanford Ascherman Professor and Chair of Genetics and the Director of the Center of Genomics and Personalized Medicine. Dr. Snyder received his Ph.D. training at the California Institute of Technology and carried out postdoctoral training at Stanford University. He is a leader in the field of functional genomics and proteomics, and one of the major participants of the ENCODE project. His laboratory study was the first to perform a large-scale functional genomics project in any organism, and has launched many technologies in genomics and proteomics that have been used for characterizing genomes, proteomes and regulatory networks.
Views: 3749 stanfordonline
Applied Proteomics
 
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Proteomics will revolutionize medical care, saving millions of lives and billions of dollars.
Views: 12342 AppliedProteomics
VIZBI 2013: Data Visualization in Proteomics - Martin Miller
 
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Copyright Broad Institute, 2013. All rights reserved. VIZBI 2013: Data Visualization in Proteomics - Martin Miller VIZBI 2013, the 4th international meeting on Visualizing Biological Data was held March 20-22, at the Broad Institute. VIZBI 2013 brought together scientists, illustrators, and designers actively using or developing computational visualization to study a diverse range of biological data. For information about data visualization efforts at the Broad Institute, please visit:‪http://www.broadinstitute.org/node/1363/‬ VIZBI is an international conference series on visualizing biological data (‪http://www.vizbi.org‬) funded by NIH & EMBO.
Views: 243 Broad Institute
MIA: Jeremy Freeman, Open source tools for large-scale neuroscience
 
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Models, Inference and Algorithms Meeting March 16, 2016 Open source tools for large-scale neuroscience Jeremy Freeman Janelia Research Campus, HHMI Modern computing and the web are both enabling and changing how we do science. Using neuroscience as an example, I will highlight some of these developments, spanning a surprising diversity of technologies. I'll discuss distributed computing for data analytics, cloud computing and containerization for reproducibility, peer-to-peer networks for sharing data and knowledge, functional reactive programming for hardware control, and webgl for large-scale interactive experiments. And I will describe several open source projects we and others are working on across these domains. I hope to convey both what we're learning about the brain with these approaches, and how science itself is evolving in the process. For more information visit: http://www.broadinstitute.org/MIA Copyright Broad Institute, 2016. All rights reserved.
Views: 962 Broad Institute
Researcher shoots for super-trees
 
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Pat Bell, Minister of Jobs, Tourism and Innovation, has announced that one of the world's top protein chemists has been appointed to a $4.5-million Leading Edge Endowment Fund research chair at the University of Victoria. Christoph Borchers, the Don and Eleanor Rix B.C. Leadership Chair in Biomedical and Environmental Proteomics, is working on projects including super-trees that can shrug off pest attacks or are highly efficient at sequestering carbon. News release: http://www.newsroom.gov.bc.ca/2011/07/study-of-proteins-shakes-up-forestry-medicine.html Leading Edge Endowment Fund: http://leefbc.ca University of Victoria Genome BC Proteomics Centre: http://proteincentre.com Proteomics Research at UVic: http://www.youtube.com/watch?v=RuXmJio5pjA Dr. Donald Rix biography: http://therixcenter.com/about/about-dr-don-rix Government of B.C. Research and Innovation: http://tted.gov.bc.ca/tri/research
Views: 353 ProvinceofBC
Chotard - 3rd International Definiens Symposium
 
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Next Generation Histopathology: Definiens Software Applications in Discovery Research in the Pharmaceutical Industry CAROLE CHOTARD Institut de Recherches Servier, Croissy sur Seine, France The challenges facing the Pharmaceutical Industry are to develop innovative and safer therapeutic drugs for unmet medical needs. Based on physiopathological hypotheses, we are aiming to improve the characterization and validation of therapeutic targets and develop new drugs in cellular and animal models more predictive of the pathology in human. In this regard, within the Servier Research Institute, the Division of Molecular Physiopathology and Pharmacology is involved at different stages in the selection and validation of promising targets as well as new biomarkers from basic research to preclinical and clinical development. Working closely with multiple Research Groups (Diabetology, Cardiology, Neurology and Oncology) we support their target validation and drug discovery programs with new technologies and molecular expertise (Molecular Genetics, Transcriptomics, Proteomics, RT-PCR, Bioinformatics, High Content Analysis and Molecular Histopathology). In particular, in addition to the classical molecular pathology techniques such as Immunohistochemistry, In Situ Hybridization, we are integrating Automated Image Analysis systems in order to respond to the multiple and complex demands of image analysis where multiparametric data sets can quickly become overwhelming. Automated Image Analysis offers advantages over traditional manual methods of analysis by a non-biased process capable of evaluating multiple parameters. Moreover, once an image-analysis methodology is validated it can be applied to a large number of digitalized images, facilitating the collection of large amounts of data for statistical analysis. This presentation will focus on some of the rule-sets we have developed with Definiens (Developer and Tissue Studio) in our different Research axes.
Views: 138 DefiniensLifeTV
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN: 1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following Biomedical modeling and computer simulation Bioinformatics databases Bio-grid Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Parallel algorithms for biological analysis Parallel architectures for biological applications Phylogeny reconstruction algorithms Protein structure prediction Sequence assembly Sequence search and alignment Signaling and computation biomedical data engineering Simulated annealing Statistical analysis Stochastic grammars Support vector machines System biology DNA assembly, clustering, and mapping Telemedicine Computational genomics, Intelligence, proteomics, structural biology E-health Genetic algorithms Hidden Markov models Fuzzy logic Molecular evolution and phylogeny Molecular modeling and simulation Molecular sequence analysis High performance computing Neural networks Machine learning Data visualization For more details visit : http://wireilla.com/ijbb/index.html
Views: 12 IJBBR Journal
Biosystems International and early detection of Lung Cancer
 
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The new blood test for the diagnosis of lung cancer being developed by Biosystems Internaitonal will provide hope to millions as it can detect the disease at an early stage when surgical intervention is still possible, increasing dramatically the chances for survival.
Views: 230 biosysintl
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN: 1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following Biomedical modeling and computer simulation Bioinformatics databases Bio-grid Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Parallel algorithms for biological analysis Parallel architectures for biological applications Phylogeny reconstruction algorithms Protein structure prediction Sequence assembly Sequence search and alignment Signaling and computation biomedical data engineering Simulated annealing Statistical analysis Stochastic grammars Support vector machines System biology DNA assembly, clustering, and mapping Telemedicine Computational genomics, Intelligence, proteomics, structural biology E-health Genetic algorithms Hidden Markov models Fuzzy logic Molecular evolution and phylogeny Molecular modeling and simulation Molecular sequence analysis High performance computing Neural networks Machine learning Data visualization For more details visit : http://wireilla.com/ijbb/index.html
Views: 7 IJSCMC Journal
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN: 1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include, but are not limited to the following: • Biomedical modeling and computer simulation • Bioinformatics databases • Bio-grid • Biomedical image processing (segmentation, registration, fusion) • Bio-ontology and data mining • Parallel algorithms for biological analysis • Parallel architectures for biological applications • Phylogeny reconstruction algorithms • Protein structure prediction • Sequence assembly • Sequence search and alignment • Signaling and computation biomedical data engineering • Simulated annealing • Statistical analysis • Stochastic grammars • Support vector machines • System biology • DNA assembly, clustering, and mapping • Telemedicine • Computational genomics, Intelligence, proteomics, structural biology • E-health • Genetic algorithms • Hidden Markov models • Fuzzy logic • Molecular evolution and phylogeny • Molecular modeling and simulation • Molecular sequence analysis • High performance computing • Neural networks • Machine learning • Data visualization Paper Submission Authors are invited to submit papers for this journal through Submission system. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://wireilla.com/ijbb/index.html
Views: 6 Iju Journal
IPPCR 2015: Overview of Clinical Study Design
 
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IPPCR 2015: Overview of Clinical Study Design Air date: Tuesday, October 20, 2015, 5:00:00 PM Category: IPPCR Runtime: 01:29:48 Description: The Introduction to the Principles and Practice of Clinical Research (IPPCR) is a course to train participants on how to effectively conduct clinical research. The course focuses on the spectrum of clinical research and the research process by highlighting epidemiologic methods, study design, protocol preparation, patient monitoring, quality assurance, and Food and Drug Administration (FDA) issues. For more information go to https://ippcr.nihtraining.com/login.php Author: Laura Lee Johnson, Ph.D., FDA Permanent link: http://videocast.nih.gov/launch.asp?19257
Views: 12979 nihvcast
Current trends in biobanking for rare diseases - Video abstract 46707
 
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Video abstract of review paper Current trends in biobanking for rare diseases: a review published in the open access Journal of Biorepository Science for Applied Medicine by Caroline E Graham, Caron Molster, Gareth S Baynam, et al. Abstract: Rare diseases (RD) refer to a collection of approximately 5,000–8,000 individual diseases that have a low prevalence and are often genetic in origin. While RD can manifest throughout life, they frequently affect children and newborns. Common characteristics include being severe, disabling, life-threatening, degenerative and affecting different organ systems. The burden of RD is often exacerbated by a lack of specific treatments. Whilst there is etiological heterogeneity, there is overlap in cellular and molecular pathways. Amongst specialists, there is legitimate hope that based on genetic knowledge and pathway definition, a new medical classification system, currently called “precision medicine”, will be developed, which may change our view on how to apply shared therapeutic targets. Thus, collection of clinical and genetic data and biospecimens (in biobanks) will play an increasing role in diagnoses and development of therapies for RD. Biobanks are maintained collaboratively by researchers or their institutions, and involve a delicate balance between health policy objectives, academic research, public good outcomes, and community trust. Due to the nature of RD, international cooperation is critical for sharing limited numbers of RD samples and achieving a critical mass. Here we review the current and future direction of RD biobanks and discuss research and development stemming from the use of biospecimens to improve management of RD. Read the review paper here: http://www.dovepress.com/current-trends-in-biobanking-for-rare-diseases-a-review-peer-reviewed-article-BSAM
Views: 198 Dove Medical Press
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN: 1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include, but are not limited to the following: • Biomedical modeling and computer simulation • Bioinformatics databases • Bio-grid • Biomedical image processing (segmentation, registration, fusion) • Bio-ontology and data mining • Parallel algorithms for biological analysis • Parallel architectures for biological applications • Phylogeny reconstruction algorithms • Protein structure prediction • Sequence assembly • Sequence search and alignment • Signaling and computation biomedical data engineering • Simulated annealing • Statistical analysis • Stochastic grammars • Support vector machines • System biology • DNA assembly, clustering, and mapping • Telemedicine • Computational genomics, Intelligence, proteomics, structural biology • E-health • Genetic algorithms • Hidden Markov models • Fuzzy logic • Molecular evolution and phylogeny • Molecular modeling and simulation • Molecular sequence analysis • High performance computing • Neural networks • Machine learning • Data visualization Paper Submission Authors are invited to submit papers for this journal through Submission system. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Contact US Here's where you can reach us: [email protected] or [email protected]
Views: 33 IJBB Journal
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) http://wireilla.com/ijbb/index.html ISSN 1839-9614 Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following • Biomedical modeling and computer simulation • Bioinformatics databases • Bio-grid • Biomedical image processing (segmentation, registration, fusion) • Bio-ontology and data mining • Parallel algorithms for biological analysis • Parallel architectures for biological applications • Phylogeny reconstruction algorithms • Protein structure prediction • Sequence assembly • Sequence search and alignment • Signaling and computation biomedical data engineering • Simulated annealing • Statistical analysis • Stochastic grammars • Support vector machines • System biology • DNA assembly, clustering, and mapping • Telemedicine • Computational genomics, Intelligence, proteomics, structural biology • E-health • Genetic algorithms • Hidden Markov models • Fuzzy logic • Molecular evolution and phylogeny • Molecular modeling and simulation • Molecular sequence analysis • High performance computing • Neural networks • Machine learning • Data visualization For other details please visit : http://wireilla.com/ijbb/index.html
Views: 21 civej journal
International Journal on Bioinformatics & Biosciences
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN: 1839-9614 http://airccse.org/journal/IJBB/ijbb.html Scope & Topics Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include, but are not limited to the following: • Biomedical modeling and computer simulation • Bioinformatics databases • Bio-grid • Biomedical image processing (segmentation, registration, fusion) • Bio-ontology and data mining • Parallel algorithms for biological analysis • Parallel architectures for biological applications • Phylogeny reconstruction algorithms • Protein structure prediction • Sequence assembly • Sequence search and alignment • Signaling and computation biomedical data engineering • Simulated annealing • Statistical analysis • Stochastic grammars • Support vector machines • System biology • DNA assembly, clustering, and mapping • Telemedicine • Computational genomics, Intelligence, proteomics, structural biology • E-health • Genetic algorithms • Hidden Markov models • Fuzzy logic • Molecular evolution and phylogeny • Molecular modeling and simulation • Molecular sequence analysis • High performance computing • Neural networks • Machine learning • Data visualization Paper Submission Authors are invited to submit papers for this journal through E-mail : [email protected] Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. For other details please visit http://airccse.org/journal/IJBB/ijbb.html
Views: 72 ijbb journal
International Journal on Bioinformatics & Biosciences (IJBB)
 
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International Journal on Bioinformatics & Biosciences (IJBB) ISSN :1839-9614 http://wireilla.com/ijbb/index.html Scope & Topics International Journal on Bioinformatics & Biosciences (IJBB) is a Quarterly peer-reviewed and refereed open access journal that publishes articles which contribute new results in all areas of the Bioinformatics & Biosciences. Bioinformatics is the application of information science and technology to the field of biology to increase the understanding of all biological process. The aim of this journal is to publish all the latest and outstanding research articles in all areas of bioinformatics and Biometrics. Researchers and scientists from the fields of biology, computer science, mathematics, statistics, and physics are invited to share their developments and new techniques in the fields of Biometrics and Bioinformatics. Topics of interest include but are not limited to, the following Biomedical modeling and computer simulation Bioinformatics databases Bio-grid Biomedical image processing (segmentation, registration, fusion) Bio-ontology and data mining Parallel algorithms for biological analysis Parallel architectures for biological applications Phylogeny reconstruction algorithms Protein structure prediction Sequence assembly Sequence search and alignment Signaling and computation biomedical data engineering Simulated annealing Statistical analysis Stochastic grammars Support vector machines System biology DNA assembly, clustering, and mapping Telemedicine Computational genomics, Intelligence, proteomics, structural biology E-health Genetic algorithms Hidden Markov models Fuzzy logic Molecular evolution and phylogeny Molecular modeling and simulation Molecular sequence analysis High performance computing Neural networks Machine learning Data visualization
Structural biology, Proteomics & Cancer Symposium: 09 The amyloid state of proteins
 
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The amyloid state of proteins, and connections to diseases including cancer Prof. David Eisenberg-Director of CGM; Director of Institute for Genomics and Proteomics, UCLA, USA Structural biology, Proteomics & Cancer Symposium: The symposium is part of a workshop (March 6-8) that will bring together leaders from VNU-HCMC and UCLA, and is co-sponsored by the Center for Global Mentoring (CGM) at UCLA. The mission of CGM is to partner with international universities to foster excellence in mentoring for researchers in the basic sciences. The symposium, on March 7th, will include scientific presentations from both VNU and keynote UCLA faculty. All faculties and students at VNU are welcome to attend the seminars. The major goals of the workshop are to establish contacts with students and faculties, and to strengthen collaborations in the areas of structural biology, proteomics and cancer
Dr. Brian Druker: "Anatomy of a Breakthrough in Targeted Cancer Treatments" | Talks at Google
 
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Brian Druker, winner of the Lasker Prize and Director of the Knight Cancer Institute, is one of the developers of Gleevec, a triumph of rational, science-driven drug design and targeted cancer therapy. Originally developed to treat chronic myeloid leukemia, Gleevec is now used in more than 10 indications by hundreds of thousands of adults and children each year. The Knight Cancer Institute, which Brian leads, is devoted to development of personalized cancer therapies. Supported by a recent billion dollar fundraising effort and state bond measure, its new focus is the early detection of cancer. Moderated by Vik Bajaj.
Views: 2868 Talks at Google
ClinSeq®: A Large-Scale Medical Sequencing Clinical Research Pilot Study
 
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For more information: http://www.genome.gov/20519355
Yelawolf - Till It’s Gone
 
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iTunes: http://smarturl.it/TillItsgone Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Till It’s Gone. (C) 2014 Interscope Records Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL
Views: 83598086 YelawolfVEVO
Dr. Eric Green, Director of the NHGRI: "NIH & Biomedical 'Big Data'"
 
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Dr. Eric Green, Director of the National Human Genome Research Institute (NHGRI), discussed the impact of big data on genomics and biomedical research at the Sept. 17, 2013 meeting of the National Advisory Council for Nursing Research (NACNR). www.ninr.nih.gov.
Views: 780 NINRnews
Basic science of pathogenesis, functional genomics and mechanisms - Wen-Hung Chung
 
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March 3-4, 2015 - Research Directions in Genetically-Mediated Stevens-Johnson Syndrome/Toxic Epidermal Necrolysis More: http://www.genome.gov/27560487
Healthcare Data Mining with Matrix Models (Part 2)
 
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Authors: Joel Dudley, Icahn School of Medicine at Mount Sinai Ping Zhang, IBM Thomas J. Watson Research Center Fei Wang, Department of Healthcare Policy and Research, Cornell University Abstract: In the last decade, advances in high-throughput technologies, growth of clinical data warehouses, and rapid accumulation of biomedical knowledge provided unprecedented opportunities and challenges to researchers in biomedical informatics. One distinct solution, to efficiently conduct big data analytics for biomedical problems, is the application of matrix computation and factorization methods such as non-negative matrix factorization, joint matrix factorization, tensor factorization. Compared to probabilistic and information theoretic approaches, matrix-based methods are fast, easy to understand and implement. In this tutorial, we provide a review of recent advances in algorithms and methods using matrix and their potential applications in biomedical informatics. We survey various related articles from data mining venues as well as from biomedical informatics venues to share with the audience key problems and trends in matrix computation research, with different novel applications such as drug repositioning, personalized medicine, and electronic phenotyping. More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/
Views: 171 KDD2016 video
Danny Hillis: Understanding cancer through proteomics
 
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http://www.ted.com Danny Hills makes a case for the next frontier of cancer research: proteomics, the study of proteins in the body. As Hillis explains it, genomics shows us a list of the ingredients of the body -- while proteomics shows us what those ingredients produce. Understanding what's going on in your body at the protein level may lead to a new understanding of how cancer happens. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes. Featured speakers have included Al Gore on climate change, Philippe Starck on design, Jill Bolte Taylor on observing her own stroke, Nicholas Negroponte on One Laptop per Child, Jane Goodall on chimpanzees, Bill Gates on malaria and mosquitoes, Pattie Maes on the "Sixth Sense" wearable tech, and "Lost" producer JJ Abrams on the allure of mystery. TED stands for Technology, Entertainment, Design, and TEDTalks cover these topics as well as science, business, development and the arts. Closed captions and translated subtitles in a variety of languages are now available on TED.com, at http://www.ted.com/translate.
Views: 43614 TED
Mining the Genome to Understand Epigenetic Abnormalities in Cancer ... - Stephen Baylin
 
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June 29 - July 1, 2015 -- ENCODE 2015: Research Applications and Users Meeting More: http://www.genome.gov/27561910 Full title: Mining the Genome to Understand Epigenetic Abnormalities in Cancer and Enhance Development of New Therapeutic Approaches
Why are Reproducibility and Data Sharing Important in Biomedicine
 
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PRESENTER: Keith Baggerly, Professor, Bioinformatics & Comp Biology Modern high-throughput biological assays let us ask detailed questions about how diseases operate, and promise to let us personalize therapy. Careful data processing is essential, because our intuition about what the answers “should” look like is very poor when we have to juggle thousands of things at once. When documentation of such processing is absent, or some data are missing, we must apply “forensic bioinformatics” to work from what data we have and the reported results to infer what the methods must have been. We will present several case studies where simple errors may have put patients at risk. This work has been covered in both the scientific and lay press, prompted several journals to revisit the types of information that must accompany publications, and led to an Institute of Medicine (IOM) review of the type of data that must be supplied before “omics”-based tests are used to guide patient care. We discuss steps we take to avoid such errors, other lessons that can be applied to large data sets, and issues associated with data sharing.
NYU CHIBI Searle Non-parametric Analysis of MS/MS Proteomics Data 10.30.13
 
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Many strategies for identifying significantly changing proteins in proteomics experiments rely on normality assumptions hidden inside methods like ANOVA. Similar requirements are embedded in parametric models commonly used for identifying peptides, such as with Peptide Prophet. While statisticians in other fields can often "bend the rules" with these normality requirements, proteomics suffers from an unusually long laundry list of potential sources of error that make this impossible. Reasons for non-normal behavior include truncation of low intensities due to instrument detection limits, saturation effects, post-translational modification, differential expression within proteins, and background effects due to "chimeric" peptides. Based on our experience with data sets in the wild we go so far as to suggest that experiments that fit the requirements of parametric analysis are actually very rare. In this talk we demonstrate several non-parametric strategies for interpreting both peptide identification and protein quantitation results from proteomics experiments. We show that these methods frequently optimize peptide identification rates by large margins and often significantly improve protein quantitative measurement variability.
Views: 471 nyuinformatics
K Camp - Comfortable
 
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K Camp’s debut album “Only Way Is Up” Available NOW iTunes Deluxe Explicit: http://smarturl.it/KCampOWIUdlxEX Google Play Standard Explicit: http://smarturl.it/KCampOWIUstdEXgp Google Play Standard Clean : http://smarturl.it/KCampOWIUstdEDgp Google Play Explicit Deluxe: http://smarturl.it/KCampOWIUdlxEXgp Google Play Clean Deluxe: http://smarturl.it/KCampOWIUdlxEDgp http://kcamp427.com http://twitter.com/twitter.com/kcamp427 http://facebook.com/kcamp427 http://instagram.com/kcamp427 http://vevo.ly/h1MhCH
Views: 61262326 KCampVEVO
Yelawolf - Johnny Cash
 
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Get Yelawolf's "Love Story" - http://smarturl.it/YelaLoveStory Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Johnny Cash. (C) 2015 Interscope Records http://www.vevo.com/watch/USUV71400880 Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL
Views: 10546405 YelawolfVEVO
Gordon Lithgow, Ph.D. on Protein Aggregation, Iron Overload & the Search for Longevity Compounds
 
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In this podcast, Dr. Rhonda Patrick speaks with Dr. Gordon J Lithgow, professor at the Buck Institute for Research on Aging. Gordon uses the tiny nematode worm, C. elegans, to interrogate questions involving the aging process and lifespan extension. ▶︎ Get the show notes! https://www.foundmyfitness.com/episodes/gordon-j-lithgow In this podcast, Gordon and I discuss... • 00:00:27 - The various qualities of C. elegans, especially as related to science’s deep knowledge of the organism, that makes it a perfect fit for this type of research. • 00:01:40 - Some of the early experiences that actually lead to my early interest in the aging field and how it actually holds a little in common with Gordon. • 00:03:15 - The role of protein aggregation as a possible fundamental mechanism of aging... even beyond its more established role in neurodegenerative diseases. • 00:07:41 - Some of the fascinating research surrounding mild heat stress as a means to increase lifespan in lower organisms. • 00:16:00 - Some of Gordon’s research into the effects of metal accumulation, particularly iron, on aging in lower organisms and how, in humans, it may be important to approach the intake of these minerals with care. • 00:17:57 - The interplay between genes that influence iron-binding and the development of Alzheimer’s disease in humans. • 00:21:35 - Some of Gordon’s research into the (perhaps surprising) effect of vitamin D on aging in C. elegans and, particularly, on the solubility of proteins... the loss of which is a feature of aging of particular interest. • 00:23:22 - The critical involvement of the Nrf2 stress-response pathway in conferring benefits of vitamin D in worms... a pathway many of you may know about from previous discussions of sulforaphane, a robust activator of Nrf2 in humans. • 00:31:53 - The story behind the Caenorhabditis Intervention Testing Program, a multi-institutional effort using the advantages of C. elegans short lifespan to screen for potential compounds that may increase lifespan. We also discuss the more expensive-but-closer-to-humans version of this program known just the Intervention Testing Program. • 00:33:00 - Some of the challenges encountered with ensuring standardization of protocols across all of the participating labs in the Caenorhabditis Intervention Testing Program. • 00:32:20 - The amazing genetic diversity represented in soil-dwelling nematodes and how this is also an advantage in longevity research. • 00:37:08 - The synergistic way in which research in lower organisms (C. elegans in this case) works together with rodent research to better understand the biology of aging and identify potential therapeutics. • 00:38:05 - The interesting possibility that certain compounds may have a different overall effect on lifespan or healthspan that is dependent within certain contexts (e.g. environmentally stressed or not)... this may add a little bit more complexity! -- Find out more about Dr. Lithgow at the Buck Institute for Research on Aging: ▶︎ The Lithgow Lab @ Buck: http://www.buckinstitute.org/lithgowLab --- Links related to FoundMyFitness: ▶︎ Subscribe on YouTube: http://youtube.com/user/FoundMyFitness?sub_confirmation=1 ▶︎ Join my weekly email newsletter: http://www.foundmyfitness.com/?sendme=lifestyle-heuristic ▶︎ Crowdfund more videos: http://www.patreon.com/foundmyfitness ▶︎ Subscribe to the podcast: http://itunes.apple.com/us/podcast/foundmyfitness/id818198322 ▶︎ Twitter: http://twitter.com/foundmyfitness ▶︎ Facebook: http://www.facebook.com/foundmyfitness ▶︎ Instagram: http://www.instagram.com/foundmyfitness
Views: 39085 FoundMyFitness
Yelawolf - Daddy's Lambo
 
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Sign up for updates: http://smarturl.it/Yelawolf.News Music video by Yelawolf performing Daddy's Lambo. (C) 2011 DGC Records Best of Yelawolf: https://goo.gl/vy7NZQ Subscribe here: https://goo.gl/ynkVDL
Views: 49462856 YelawolfVEVO
Trends in Drug Discovery Technology
 
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The development of new drugs to better treat difficult diseases requires significant time, effort, and expenditure. Utilizing high-throughput screening of large chemical libraries combined with automation and advanced visualization technologies has led to numerous breakthroughs in this evolving industry. This in turn has fostered rapid growth in many fields including bioanalytical and cell-based assays, genomic and proteomic technologies, high-throughput screening, nanotechnology, and bioinformatics, among others. Join Lab Manager’s panel of technical experts as they discuss some of the latest technology trends in this exciting and rapidly-changing field.
Views: 216 LabManagerVideos
Snow Tha Product - “Nights" (feat. W. Darling)
 
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Snow Tha Product - “Nights" (feat. W. Darling) Download: http://smarturl.it/DownloadNights Stream: http://smarturl.it/StreamNights Connect with Snow https://twitter.com/SnowThaProduct https://www.facebook.com/SnowThaProduct https://www.instagram.com/snowthaproduct https://soundcloud.com/snowthaproduct http://www.snowthaproduct.com/
Views: 7025593 SNOWTHAPRODUCT
What is BIOCURATOR? What does BIOCURATOR mean? BIOCURATOR meaning, definition & explanation
 
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What is BIOCURATOR? What does BIOCURATOR mean? BIOCURATOR meaning - BIOCURATOR pronunciation - BIOCURATOR definition - BIOCURATOR explanation - How to pronounce BIOCURATOR? Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. A biocurator is a professional scientist who curates, collects, annotates, and validates information that is disseminated by biological and model Organism Databases. The role of a biocurator encompasses quality control of primary biological research data intended for publication, extracting and organizing data from original scientific literature, and describing the data with standard annotation protocols and vocabularies that enable powerful queries and biological database inter-operability. Biocurators communicate with researchers to ensure the accuracy of curated information and to foster data exchanges with research laboratories. Biocurators (also called scientific curators, data curators or annotators) have been recognized as the "museum catalogers of the Internet age". In genome annotation for example, biocurators commonly employ—and take part in the creation and development of—shared biomedical ontologies: structured, controlled vocabularies that encompass many biological and medical knowledge domains, such as the Open Biomedical Ontologies found in the OBO Foundry. These domains include genomics and proteomics, anatomy, animal and plant development, biochemistry, metabolic pathways, taxonomic classification, and mutant phenotypes. Biocurators enforce the consistent use of gene nomenclature guidelines and participate in the genetic nomenclature committees of various model organisms, often in collaboration with the HUGO Gene Nomenclature Committee (HGNC). They also enforce other nomenclature guidelines like those provided by the Nomenclature Committee of the International Union of Biochemistry and Molecular Biology (IUBMB), one example of which is the Enzyme Commission EC number. There has been also recent interest in exploring the use of natural-language processing and text mining technologies to enable a more systematic extraction of candidate information for manual literature curation. Therefore, the definition of the main literature curation stages of a 'canonical' biocuration workflow has been examined. The use of text mining techniques for these various stages, from the initial detection of curation-relevant articles (triage) to the extraction of annotations and entity relationships has been attempted by various specialized systems. Traditionally, biological knowledge has been aggregated through expert curation, conducted manually by dedicated experts. However, with the burgeoning volume of biological data and increasingly diverse densely informative published literatures, expert curation becomes more and more laborious and time-consuming, increasingly lagging behind knowledge creation. Community Curation harnesses community intelligence in knowledge curation, bears great promise in dealing with the flood of biological knowledge. To exploit the full potential of the scientific community for knowledge curation, multiple biological wikis (bio-wikis) have been built to date. To increase community curation in bio-wikis, AuthorReward, an extension to MediaWiki, is developed for rewarding community-curated efforts in knowledge curation. AuthorReward provides bio-wikis with an authorship metric; it quantifies researchers' contributions by properly factoring both edit quantity and quality and yields automated explicit authorship according to their quantitative contributions. Another community based approach to analyze biological data is called Systems Biology Verification (SBV) IMPROVER. Biological networks with a structured syntax are a powerful way of representing biological information generated from high density data; however, they can become unwieldy to manage as their size and complexity increase. SBV IMPROVER presents a crowd-verification approach for the visualization and expansion of biological networks.
Views: 115 The Audiopedia
Human Proteome Folding - Phase 2 - World Community Grid
 
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Human Proteome Folding - Phase 2 인간단백질접힘연구 Only a few years ago, scientists completed a draft sequence of the Human Genome. While our genes are an amazing repository of information, knowing the genes is only the beginning. It is the proteins made from these genes that actually carry out all the functions that keep us alive. However, scientists still do not know the functions of a large fraction of human proteins. With an understanding of how each protein affects human health, scientists can develop new cures for human disease. Huge amounts of data exist that can identify the role of individual proteins, but it must be analyzed to be useful. This analysis could take years to complete on super computers. World Community Grid hopes to shrink this time to months. Proteins are long and disordered chains folded into globs. The number of shapes that proteins can fold into is enormous. Searching through all of the possible shapes to identify the correct function of an individual protein is a tremendous challenge. The Human Proteome Folding project will provide scientists with data that predicts the shape of a very large number of human proteins. These predictions will give scientists the clues they need to identify the biological functions of individual proteins within the human body. With an understanding of how each protein affects human health, scientists can develop new cures for human diseases such as cancer, HIV/AIDS, SARS, and malaria. Donate your Computer's Time to Science! # How World Community Grid works! 1. World Community Grid Join - https://join.worldcommunitygrid.org?teamId=33JH13V1TT1 2. Download, install and run the BOINC software - http://boinc.berkeley.edu/download.php (Install the software. It takes about 30 seconds - this is one of the easiest installs I have ever seen!) 3. Select Attach to World Community Grid 4. "Yes, existing user", Login Complete! # Have questions or need help? Contact a volunteer using BOINC online help. - http://boinc.berkeley.edu/help.php About Us World Community Grid To further critical non-profit research on some of humanity's most pressing problems by creating the world's largest volunteer computing grid. Research includes HIV/AIDS, Cancer, Lung cancer, Ovarian cancer, Prostate cancer, Pancreatic cancer, Breast cancer, Childhood Cancer, Ebola Virus, muscular dystrophy, dengue fever, Malaria, Human Proteome Folding, Leishmaniasis, Schistosoma, Sustainable Water, Clean Water, Clean Energy, and many more. Our Mission, Our Work and You World Community Grid's mission is to create the world's largest public computing grid to tackle projects that benefit humanity. Our work has developed the technical infrastructure that serves as the grid's foundation for scientific research. Our success depends upon individuals collectively contributing their unused computer time to change the world for the better. World Community Grid is making technology available only to public and not-for-profit organizations to use in humanitarian research that might otherwise not be completed due to the high cost of the computer infrastructure required in the absence of a public grid. As part of our commitment to advancing human welfare, all results will be in the public domain and made public to the global research community. Our Sponsor IBM Corporation, a leader in the creation, development and manufacture of the industry's most advanced information technologies, has donated the hardware, software, technical services and expertise to build the infrastructure for World Community Grid and provides free hosting, maintenance and support. How Grid Technology Works Making a difference has never been easier! Grid technology is simple and safe to use. To start, you register*(https://join.worldcommunitygrid.org?teamId=33JH13V1TT1), then download and install a small program or "agent" onto your computer. When idle, your computer will request data on a specific project from World Community Grid's server. It will then perform computations on this data, send the results back to the server, and ask the server for a new piece of work. Each computation that your computer performs provides scientists with critical information that accelerates the pace of research! World Community Grid runs on software called BOINC (Berkeley Open Infrastructure for Network Computing, developed at University of California, Berkeley, USA with funding from NSF (National Science Foundation). IBM 비영리 공동체 협력 기구 (IBM Corporate Community Relations)
Views: 161 SETIKAH
Inspirational lecture: Professor Jesper Lagergren
 
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"Reduced deaths in oesophageal cancer" Jesper Lagergren, Department of Molecular Medicine and Surgery From the seminar series "Get inspired by a professor" for KI students, spring semester 2015.
Algorithms & Optimization
 
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Dr. Pavel Pevzner from University of California, San Diego presents a lecture titled "Algorithms & Optimization." View Slides https://drive.google.com/open?id=0B4IAKVDZz_JUeUJ4UmtyYllwZzQ Lecture Abstract This lecture will illustrate algorithmic challenges in Biological Data Science using genome assembly. We will show how modern algorithms solve the seemingly intractable problem of assembling a jigsaw puzzle with billions of short pieces (sequencing reads). We will discuss how the best algorithmic strategies for assembling genomes from reads change as new sequencing technologies emerge. The factors that influence the choice of algorithms include the quantity of data (measured by read length and coverage); quality of data (including error rates); and genome structure (the number and size of repeated regions). About the Speaker Pavel Pevzner is Ronald R. Taylor Professor of Computer Science and Engineering and Director of the NIH National Center for Computational Mass Spectrometry at University of California, San Diego. He holds Ph.D. from Moscow Institute of Physics and Technology, Russia. He was named Howard Hughes Medical Institute Professor in 2006. He was elected the ACM Fellow (2010) for "contribution to algorithms for genome rearrangements, DNA sequencing, and proteomics”, International Society for Computational Biology Fellow (2012), and European Academy of Sciences (Academia Europaea) in 2016. He was awarded a Honoris Causa (2011) from Simon Fraser University in Vancouver. Dr. Pevzner authored textbooks "Computational Molecular Biology: An Algorithmic Approach", "Introduction to Bioinformatics Algorithms" (jointly with Neal Jones) and “Bioinformatics Algorithms: an Active Learning Approach” (jointly with Phillip Compeau). In 2015, jointly with Phillip Compeau, he developed a Bioinformatics specialization on Coursera (a series of 7 courses) that has already have over 300,000 enrollments. In 2016, Compeau and Pevzner developed Biology Meets Programming online course on Coursera that introduces biologists to programming. Join our weekly meetings from your computer, tablet or smartphone. Visit our website to view our schedule and join our next live webinar! http://www.bigdatau.org/data-science-seminars
More Effective Cancer Therapies - with SAP HANA
 
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Patients suffering from cancer often have to wait many years for a therapy to be effective. The National Center for Tumor Diseases in Heidelberg, Germany cooperates with SAP to deal with this problem. The analysis of masses of data with the Patient Data Explorer based on the in-memory platform SAP HANA enables the development of individual, highly adjusted therapies against cancer.
Views: 915 SAP TV