Research in Computational Molecular Biology

12th Annual International Conference, RECOMB 2008, Singapore, March 30 - April 2, 2008. Proceedings

Editors:

ISBN: 978-3-540-78838-6 (Print) 978-3-540-78839-3 (Online)

Table of contents (41 chapters)

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  1. Front Matter

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    Pages 1-2

    Computational Biology: Its Challenges Past, Present, and Future

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    Pages 3-16

    Bootstrapping the Interactome: Unsupervised Identification of Protein Complexes in Yeast

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    Pages 17-28

    CompostBin: A DNA Composition-Based Algorithm for Binning Environmental Shotgun Reads

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    Pages 29-49

    Reconstructing the Evolutionary History of Complex Human Gene Clusters

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    Pages 50-64

    Ab Initio Whole Genome Shotgun Assembly with Mated Short Reads

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    Pages 65-65

    Orchestration of DNA Methylation

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    Pages 66-81

    BayCis: A Bayesian Hierarchical HMM for Cis-Regulatory Module Decoding in Metazoan Genomes

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    Pages 82-97

    A Combined Expression-Interaction Model for Inferring the Temporal Activity of Transcription Factors

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    Pages 98-111

    A Fast, Alignment-Free, Conservation-Based Method for Transcription Factor Binding Site Discovery

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    Pages 112-126

    The Statistical Power of Phylogenetic Motif Models

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    Pages 127-127

    Transcriptional Regulation and Cancer Genomics

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    Pages 128-139

    Automatic Recognition of Cells (ARC) for 3D Images of C. elegans

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    Pages 140-153

    Spectrum Fusion: Using Multiple Mass Spectra for De Novo Peptide Sequencing

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    Pages 154-166

    A Fragmentation Event Model for Peptide Identification by Mass Spectrometry

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    Pages 167-180

    A Bayesian Approach to Protein Inference Problem in Shotgun Proteomics

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    Pages 181-195

    De Novo Sequencing of Nonribosomal Peptides

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    Pages 196-196

    Systems Metabolic Engineering

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    Pages 197-213

    Protein Function Prediction Based on Patterns in Biological Networks

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    Pages 214-231

    Automatic Parameter Learning for Multiple Network Alignment

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    Pages 232-245

    An Integrative Network Approach to Map the Transcriptome to the Phenome

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