Research in computational molecular biology : 11th Annual International Conference, RECOMB 2007, Oakland, CA, USA, April 21-25, 2007 : proceedings
Author(s)
Bibliographic Information
Research in computational molecular biology : 11th Annual International Conference, RECOMB 2007, Oakland, CA, USA, April 21-25, 2007 : proceedings
(Lecture notes in computer science, 4453 . Lecture notes in bioinformatics)
Springer, c2007
Available at 5 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Description and Table of Contents
Description
This book constitutes the refereed proceedings of the 11th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2007, held in Oakland, CA, USA in April 2007.
The 37 revised full papers address all current issues in algorithmic, theoretical, and experimental bioinformatics.
Table of Contents
QNet: A Tool for Querying Protein Interaction Networks.- Pairwise Global Alignment of Protein Interaction Networks by Matching Neighborhood Topology.- Reconstructing the Topology of Protein Complexes.- Network Legos: Building Blocks of Cellular Wiring Diagrams.- An Efficient Method for Dynamic Analysis of Gene Regulatory Networks and in silico Gene Perturbation Experiments.- A Feature-Based Approach to Modeling Protein-DNA Interactions.- Network Motif Discovery Using Subgraph Enumeration and Symmetry-Breaking.- Nucleosome Occupancy Information Improves de novo Motif Discovery.- Framework for Identifying Common Aberrations in DNA Copy Number Data.- Estimating Genome-Wide Copy Number Using Allele Specific Mixture Models.- GIMscan: A New Statistical Method for Analyzing Whole-Genome Array CGH Data.- Production-Passage-Time Approximation: A New Approximation Method to Accelerate the Simulation Process of Enzymatic Reactions.- Shift-Invariant Adaptive Double Threading: Learning MHC II - Peptide Binding.- Reconstructing the Phylogeny of Mobile Elements.- Beyond Galled Trees - Decomposition and Computation of Galled Networks.- Variational Upper Bounds for Probabilistic Phylogenetic Models.- Heuristics for the Gene-Duplication Problem: A ?(n) Speed-Up for the Local Search.- Support Vector Training of Protein Alignment Models.- Tools for Simulating and Analyzing RNA Folding Kinetics.- Multiple Sequence Alignment Based on Profile Alignment of Intermediate Sequences.- Connectedness Profiles in Protein Networks for the Analysis of Gene Expression Data.- Multivariate Segmentation in the Analysis of Transcription Tiling Array Data.- A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements.- Rearrangements in Genomes with Centromeres Part I: Translocations.- Identification of Deletion Polymorphisms from Haplotypes.- Free Energy Estimates of All-Atom Protein Structures Using Generalized Belief Propagation.- Minimizing and Learning Energy Functions for Side-Chain Prediction.- Protein Conformational Flexibility Analysis with Noisy Data.- Deterministic Pharmacophore Detection Via Multiple Flexible Alignment of Drug-Like Molecules.- Design of Compact, Universal DNA Microarrays for Protein Binding Microarray Experiments.- Improved Ranking Functions for Protein and Modification-Site Identifications.- Peptide Retention Time Prediction Yields Improved Tandem Mass Spectrum Identification for Diverse Chromatography Conditions.- A Fast and Accurate Algorithm for the Quantification of Peptides from Mass Spectrometry Data.- Association Mapping of Complex Diseases with Ancestral Recombination Graphs: Models and Efficient Algorithms.- An Efficient and Accurate Graph-Based Approach to Detect Population Substructure.- RB-Finder: An Improved Distance-Based Sliding Window Method to Detect Recombination Breakpoints.- Comparative Analysis of Spatial Patterns of Gene Expression in Drosophila melanogaster Imaginal Discs.
by "Nielsen BookData"