24 research outputs found

    Pacific Symposium on Biocomputing 2023

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    The Pacific Symposium on Biocomputing (PSB) 2023 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 2023 will be held on January 3-7, 2023 in Kohala Coast, Hawaii. Tutorials and workshops will be offered prior to the start of the conference.PSB 2023 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

    Mammalian comparative genomics and epigenomics

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    Thesis (Ph. D.)--Harvard-MIT Division of Health Sciences and Technology, 2009.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Cataloged from student submitted PDF version of thesis.Includes bibliographical references.The human genome sequence can be thought of as an instruction manual for our species, written and rewritten over more than a billion of years of evolution. Taking a complete inventory of our genome, dissecting its genes and their functional components, and elucidating how these genes are selectively used to establish and maintain cell types with markedly different behaviors, are key challenges of modern biology. In this thesis we present contributions to our understanding of the structure, function and evolution of the human genome. We rely on two complementary approaches. First, we study signatures of evolutionary processes that have acted on the genome using comparative sequence analysis. We generate high quality draft genome sequences of the chimpanzee, the dog and the opossum. These species share a last common ancestor with humans approximately 6 million, 80 million and 140 million years ago, respectively, and therefore provide distinct perspectives on our evolutionary history. We apply computational methods to explore the functional organization of the genome and to identify genes that contribute to shared and species-specific traits. Second, we study how the genome is bound by proteins and packaged into chromatin in distinct cell types. We develop new methods to map protein-DNA interactions and DNA methylation using single-molecule based sequencing technology. We apply these methods to identify new functional sequence elements based on characteristic chromatin signatures, and to explore the relationship between DNA sequence, chromatin and cellular state.by Tarjei Sigurd Mikkelsen.Ph.D

    Evolutionary genomics : statistical and computational methods

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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

    Evolutionary Genomics

    Get PDF
    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
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