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Báo cáo y học: "Biocomputing enters its adolescence"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Wertheim cung cấp cho các bạn kiến thức về ngành y đề tài: Biocomputing enters its adolescence. | Meeting report Biocomputing enters its adolescence Shamil Sunyaev Address Division of Genetics Department of Medicine Brigham and Women s Hospital and Harvard Medical School 77 Avenue Louis Pasteur Boston MA 02115 USA. E-mail ssunyaev@rics.bwh.harvard.edu Published 31 May 2005 Genome Biology 2005 6 325 doi l0.ll86 gb-2005-6-6-325 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2005 6 6 325 2005 BioMed Central Ltd A report on the tenth Pacific Symposium on Biocomputing Big Island Hawaii USA 4-8 January 2005. This year s Pacific Symposium on Biocomputing saw a diverse group of computational biologists discussing an equally diverse collection of applications of computational methods to biology. At this tenth symposium under the Hawaiian sun the young field of computational biology left its infancy behind and became a teenager. A unique feature of the Pacific Symposia is that session topics are selected from submitted proposals. This ensures that the conference is well tuned to the changing character of the field and this year s symposium covered a very wide spectrum of biological problems of interest to those developing computational methods. Sessions on biogeometry - the application of computational genometry to three-dimensional structures of biopolymers - and the informatics of structural genomics reflect a long-standing interest of the Pacific Symposia and of computationalists in general in problems of structural biology. Other sessions focused on methods for combining heterogeneous data sources at a genome-wide scale the use of biomedical ontologies to provide a structured and unified means of genome annotation and genomic variation in populations and its implications for pharmacogenomics. From structure to function Sequence analysis remains a dominant method for predicting functional features of genes and proteins and for the annotation of genomes. As well as methods based on sequence similarity other