The Resource Pacific Symposium on Biocomputing 2006 : Maui, Hawaii, 3-7 January 2006, edited by Russ B. Altman [and others]

Pacific Symposium on Biocomputing 2006 : Maui, Hawaii, 3-7 January 2006, edited by Russ B. Altman [and others]

Pacific Symposium on Biocomputing 2006 : Maui, Hawaii, 3-7 January 2006
Pacific Symposium on Biocomputing 2006
Title remainder
Maui, Hawaii, 3-7 January 2006
Statement of responsibility
edited by Russ B. Altman [and others]
Title variation
Biocomputing 2006
The Pacific Symposium on Biocomputing (PSB) 2006 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 2006 will be held January 3-7, 2006 at the Grand Wailea, Maui. Tutorials will be offered prior to the start of the conference. PSB 2006 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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.P33 2006eb
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non fiction
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  • dictionaries
  • bibliography
Pacific Symposium on Biocomputing 2006 : Maui, Hawaii, 3-7 January 2006, edited by Russ B. Altman [and others]
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Includes bibliographical references
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online resource
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Session introduction / K. Bretonnel Cohen, Olivier Bodenreider, and Lynette Hirschman -- Extraction of gene-disease relations from medline using domain dictionaries and machine learning / Hong-Woo Chun [and others] -- Significantly improved prediction of subcellular localization by integrating text and protein sequence data / Annette Höglund [and others] -- Evaluation of lexical methods for detecting relationships between concepts from multiple ontologies / Helen L. Johnson [and others] -- Automatically generating gene summaries from biomedical literature / Xu Ling [and others] -- Finding geneRIFs via gene ontology annotations / Zhiyong Lu, K. Bretonnel Cohen, and Lawrence Hunter -- PhenoGO : assigning phenotypic context to gene ontology annotations with natural language processing / Yves Lussier [and others] -- Large-scale testing of bibliome informatics using Pfam protein families / Ana G. Maguitman [and others] -- Predicting gene functions from text using a cross-species approach / Emilia Stoica and Marti Hearst -- Bootstrapping the recognition and anaphoric linking of named entities in drosophila articles / Andreas Vlachos [and others] -- Session introduction / Robert Stevens, Olivier Bodenreider, and Yves A. Lussier -- Selecting biological data sources and tools with XPR, a path language for RDF / Sarah Cohen-Boulakia, Christine Froidevaux, and Emmanuel Pietriga -- Fast, cheap and out of control : a zero curation model for ontology development / Benjamin M. Good [and others] -- Putting semantics into the semantic web : how well can it capture biology? / Toni Kazic -- Event ontology : a pathway-centric ontology for biological processes / Tatsuya Kushida, Toshihisa Takagi, and Ken Ichiro Fukuda -- Discovering biomedical relations utilizing the world-wide web / Sougata Mukherjea and Saurav Sahay -- Biodash : a semantic web dashboard for drug development / Eric K. Neumann and Dennis Quan -- SemBiosphere : a semantic web approach to recommending microarray clustering services / Kevin Y. Yip [and others] -- Experience in reasoning with the foundational model of anatomy in OWL DL / Songrnao Zhang, Olivier Bodenreider, and Christine Golbreich -- Session introduction / Bobbie-Jo Webb-Robertson [and others] -- A machine learning approach to predicting peptide fragmentation spectra / Randy J. Arnold [and others] -- Identifying protein complexes in high-throughput protein interaction screens using an infinite latent feature model / Wei Chu [and others] -- High-accuracy peak picking of proteomics data using wavelet techniques / Eva Lange [and others] -- Fast De novo peptide sequencing and spectral alignment via tree decomposition / Chunmei Liu [and others] -- Experimental design of time series data for learning from dynamic Bayesian networks / David Page and Irene M. Ong -- Finding diagnostic biomarkers in proteomic spectra / Pallavi N. Pratapa, Edward F. Patz, Jr., and Alexander J. Hartemink -- Gaussian mixture modeling of [symbol] helix subclasses : structure and sequence variations / Ashish V. Tendulkar, Babatunde Ogunnaike, and Pramod P. Wangikar -- An SVM scorer for more sensitive and reliable peptide identification via tandem mass spectrometry / Haipeng Wang [and others] -- Normalization regarding non-random missing values in high-throughput mass spectrometry data / Pei Wang [and others] -- A point-process model for rapid identification of post-translational modifications / Bo Yan [and others] -- A new approach for alignment of multiple proteins / Xu Zhang and Tamer Kahveci -- Session introduction / Maricel Kann [and others] -- Discovering regulated networks during HIV-1 latency and reactivation / Sourav Bandyopudhyay, Ryan Kelley, and Trey Ideker -- Mining Alzheimer disease relevant proteins from integrated protein interactome data / Jake Yue Chen, Changyu Shen, and Andrey Y. Sivachenko -- Accounting for structural properties and nucleotide co-variations in the quantitative prediction of binding affinities of protein-DNA interactions / Sumedha Gunewardena and Zhaolei Zhang -- Improving computational predictions of cis-regulatory binding sites / Mark Robinson [and others] -- Struct2Net : integrating structure into protein-protein interaction prediction / Rohit Singh, Jinbo Xu, and Bonnie Berger -- Identifying interaction sites in "recalcitrant" proteins : predicted protein and RNA binding sites in Rev proteins of HIV-1 and EIAV agree with experimental data / Michael Terribilini [and others] -- Modeling and simulation with hybrid functional petri nets of the role of Interleukin-6 in human early haematopoiesis / Sylvie Troncale [and others] -- Modeling and analyzing three-dimensional structures of human disease proteins / Yuzhen Ye, Zhanwen Li, and Adam Godzik -- Session introduction / Francisco M. De La Vega [and others] -- Relaxing haplotype block models for association testing / Natalie Castellana [and others] -- Effect of the Peroxisome Proliferators-Activated Receptor (PPAR) gamma 3 gene on BMI in 1,210 school students from Morelos, Mexico / Lina Chen [and others] -- Transferability of tag SNPs to capture common genetic variation in DNA repair genes across multiple populations / Paul I.W. De Bakker [and others] -- A tool for selecting SNPs for association studies based on observed linkage disequilibrium patterns / Francisco M. De La Vega, Hadar I. Isaac, and Charles R. Scafe -- Data simulation software for whole-genome association and other studies in human genetics / Scott M. Dudek [and others] -- TagSNP selection based on pairwise LD criteria and power analysis in association studies / Shyam Gopalakrishnan and Zhaohui S. Qin -- Efficient two-stage genome-wide association designs based on false positive report probabilities / Peter Kraft -- The whole genome TagSNP selection and transferability among HapMap populations / Reedik Mägi, Lauris Kaplinski, and Maido Remm -- Session introduction / Michelle W. Carrillo, Russell A. Wilke, and Marylyn D. Ritchie -- Class prediction from time series gene expression profiles using dynamical systems kernels / Karsten M. Borgwardt, S.V.N. Vishwanathan, and Hans-Peter Kriegel -- Computational strategy for discovering druggable gene networks from genome-wide RNA expression profiles / Seiya Imoto [and others] -- A bivariate functional mapping model for identifying haplotypes that control drug response for systolic and diastolic blood pressures / Min Lin, Rongling Wu, and Julie Johnson -- Risk factor interactions and genetic effects associated with post-operative atrial fibrillation / Alison A. Motsinger [and others] -- Learning a predictive model for growth inhibition from the NCI DTP human tumor cell line screening data : does gene expression make a difference? / Lothur Richter, Ulrich Rückert, and Stefan Kramer
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1 online resource (xvii, 607 pages)
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  • (OCoLC)834136715
  • acaebk1281897248

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