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The Gene Ontology Handbook

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Book Series: Methods in Molecular Biology ISSN: 1064-3745 ISBN: 9781493937417 9781493937431 Year: Pages: 305 DOI: 10.1007/978-1-4939-3743-1 Language: English
Publisher: Springer
Subject: Biology
Added to DOAB on : 2017-02-24 12:38:17
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This book provides a practical and self-contained overview of the Gene Ontology (GO), the leading project to organize biological knowledge on genes and their products across genomic resources. Written for biologists and bioinformaticians, it covers the state-of-the-art of how GO annotations are made, how they are evaluated, and what sort of analyses can and cannot be done with the GO. In the spirit of the Methods in Molecular Biology book series, there is an emphasis throughout the chapters on providing practical guidance and troubleshooting advice. Authoritative and accessible, The Gene Ontology Handbook serves non-experts as well as seasoned GO users as a thorough guide to this powerful knowledge system.

Statistical Population Genomics

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Book Series: Methods in Molecular Biology ISBN: 9781071601990 Year: Pages: 468 DOI: 10.1007/978-1-0716-0199-0 Language: English
Publisher: Springer
Subject: Biology
Added to DOAB on : 2020-01-29 11:21:12
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This open access volume presents state-of-the-art inference methods in population genomics, focusing on data analysis based on rigorous statistical techniques. After introducing general concepts related to the biology of genomes and their evolution, the book covers state-of-the-art methods for the analysis of genomes in populations, including demography inference, population structure analysis and detection of selection, using both model-based inference and simulation procedures. Last but not least, it offers an overview of the current knowledge acquired by applying such methods to a large variety of eukaryotic organisms. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, pointers to the relevant literature, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Statistical Population Genomics aims to promote and ensure successful applications of population genomic methods to an increasing number of model systems and biological questions.

Fundamentals of Clinical Data Science

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ISBN: 9783319997131 Year: Pages: 219 DOI: 10.1007/978-3-319-99713-1 Language: English
Publisher: Springer
Subject: Biology --- Medicine (General)
Added to DOAB on : 2020-02-05 11:21:13
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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

Quantitative Assessment and Validation of Network Inference Methods in Bioinformatics

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Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889194780 Year: Pages: 191 DOI: 10.3389/978-2-88919-478-0 Language: English
Publisher: Frontiers Media SA
Subject: Biotechnology --- General and Civil Engineering --- Genetics --- Science (General)
Added to DOAB on : 2016-03-10 08:14:33
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Scientists today have access to an unprecedented arsenal of high-tech tools that can be used to thoroughly characterize biological systems of interest. High-throughput “omics” technologies enable to generate enormous quantities of data at the DNA, RNA, epigenetic and proteomic levels. One of the major challenges of the post-genomic era is to extract functional information by integrating such heterogeneous high-throughput genomic data. This is not a trivial task as we are increasingly coming to understand that it is not individual genes, but rather biological pathways and networks that drive an organism’s response to environmental factors and the development of its particular phenotype. In order to fully understand the way in which these networks interact (or fail to do so) in specific states (disease for instance), we must learn both, the structure of the underlying networks and the rules that govern their behavior. In recent years there has been an increasing interest in methods that aim to infer biological networks. These methods enable the opportunity for better understanding the interactions between genomic features and the overall structure and behavior of the underlying networks. So far, such network models have been mainly used to identify and validate new interactions between genes of interest. But ultimately, one could use these networks to predict large-scale effects of perturbations, such as treatment by multiple targeted drugs. However, currently, we are still at an early stage of comprehending methods and approaches providing a robust statistical framework to quantitatively assess the quality of network inference and its predictive potential. The scope of this Research Topic in Bioinformatics and Computational Biology aims at addressing these issues by investigating the various, complementary approaches to quantify the quality of network models. These “validation” techniques could focus on assessing quality of specific interactions, global and local structures, and predictive ability of network models. These methods could rely exclusively on in silico evaluation procedures or they could be coupled with novel experimental designs to generate the biological data necessary to properly validate inferred networks.

Evolutionary Genomics

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Book Series: Methods in Molecular Biology ISBN: 9781493990740 Year: Pages: 780 DOI: 10.1007/978-1-4939-9074-0 Language: English
Publisher: Springer
Subject: Biology
Added to DOAB on : 2020-01-29 11:21:11
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This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.

Biocomputing 2016:Proceedings of the Pacific Symposium

Authors: --- --- --- --- et al.
ISBN: 9789814749411 Year: Pages: 604 DOI: 10.1142/9930 Language: English
Publisher: World Scientific Publishing Co.
Subject: Biology
Added to DOAB on : 2016-01-19 03:27:59
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The Pacific Symposium on Biocomputing (PSB) 2016 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2016 will be held on January 4 – 8, 2016 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2016 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.Contents:Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput "Omics" DataComputational Approaches to Drug Repurposing and PharmacologyDetecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple PhenotypesPersonalized Medicine: From Genotypes and Molecular Phenotypes Towards TherapyText and Data Mining for Biomedical DiscoveryReadership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.

Biocomputing 2015:Proceedings of the Pacific Symposium

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ISBN: 9789814644730 Year: Pages: 516 DOI: 10.1142/9455 Language: English
Publisher: World Scientific Publishing Co.
Subject: Biology
Added to DOAB on : 2016-01-19 03:42:23
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The Pacific Symposium on Biocomputing (PSB) 2015 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2015 will be held from January 4 – 8, 2015 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2015 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.Contents:Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput "OMICS" DataCancer Pathways: Automatic Extraction, Representation, and Reasoning in the "Big Data" ERACharacterizing the Importance of Environmental Exposures, Interactions Between the Environment and Genetic Architecture, and Genetic Interactions: New Methods for Understanding the Etiology of Complex Traits and DiseaseCrowdsourcing and Mining Crowd DataPersonalized Medicine: From Genotypes, Molecular Phenotypes and the Quantified Self, Towards Improved MedicineReadership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.

Biocomputing 2014:Proceedings of the Pacific Symposium

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ISBN: 9789814583220 Year: Pages: 436 DOI: 10.1142/9078 Language: English
Publisher: World Scientific Publishing Co.
Subject: Biology
Added to DOAB on : 2016-01-19 03:46:40
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The Pacific Symposium on Biocomputing (PSB) 2014 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2014 will be held from January 3 – 7, 2014 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2014 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's “hot topics.” In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.Contents:Cancer Panomics: Computational Methods and Infrastructure for Integrative Analysis of Cancer High-Throughput “Omics” DataComputational Approaches to Drug Repurposing and PharmacologyDetecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple PhenotypesPersonalized Medicine: From Genotypes and Molecular Phenotypes Towards TherapyText and Data Mining for Biomedical DiscoveryWorkshopsReadership: Academia and industry in the fields of biocomputing, bioinformatics and computational biology.

Biocomputing 2017:Proceedings of the Pacific Symposium

Authors: --- --- --- --- et al.
ISBN: 9789813207813 Year: Pages: 668 DOI: 10.1142/10388 Language: English
Publisher: World Scientific Publishing Co.
Subject: Biology
Added to DOAB on : 2016-12-02 03:01:48
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The Pacific Symposium on Biocomputing (PSB) 2017 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2017 will be held on January 4 – 8, 2017 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2017 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

Biocomputing 2018:Proceedings of the Pacific Symposium

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ISBN: 9789813235533 Year: Pages: 500 DOI: 10.1142/10864 Language: English
Publisher: World Scientific Publishing Co.
Added to DOAB on : 2017-11-20 08:35:10
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The Pacific Symposium on Biocomputing (PSB) 2018 is an international, multidisciplinary conference for the presentation and discussion of current research in the theory and application of computational methods in problems of biological significance. Presentations are rigorously peer reviewed and are published in an archival proceedings volume. PSB 2018 will be held on January 3 – 7, 2018 in Kohala Coast, Hawaii.PSB 2018 will bring together top researchers from the US, the Asian Pacific nations, and around the world to exchange research results and address open issues in all aspects of computational biology. It is a forum for the presentation of work in databases, algorithms, interfaces, visualization, modeling, and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB has been designed to be responsive to the need for critical mass in sub-disciplines within biocomputing. For that reason, it is the only meeting whose sessions are defined dynamically each year in response to specific proposals. PSB sessions are organized by leaders of research in biocomputing's "hot topics." In this way, the meeting provides an early forum for serious examination of emerging methods and approaches in this rapidly changing field.

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