Bioinformatics Research and Applications

9th International Symposium, ISBRA 2013, Charlotte, NC, USA, May 20-22, 2013. Proceedings

ISBN: 978-3-642-38035-8 (Print) 978-3-642-38036-5 (Online)

Table of contents (29 chapters)

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  1. Front Matter

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    Pages 1-1

    Peptide Identification from Mass Spectrometry

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    Pages 2-2

    Identifying Critical Transitions of Biological Processes by Dynamical Network Biomarkers

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    Pages 3-3

    Computational Behavioral Ecology

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    Pages 4-4

    Unusual RNA Structures: Information Content in RNAs from the “Prebiotic Ribosome” to Modern Viruses

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    Pages 5-16

    The Radiation Hybrid Map Construction Problem Is FPT

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    Pages 17-27

    Reconstructing Ancestral Genomic Orders Using Binary Encoding and Probabilistic Models

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    Pages 28-39

    Computational Methods for the Parallel 3D Simulation of Biochemical Kinetics at the Microscopic Scale

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    Pages 40-51

    A Tool for Non-binary Tree Reconciliation

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    Pages 52-63

    Patterns of Chromatin-Modifications Discriminate Different Genomic Features in Arabidopsis

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    Pages 64-75

    Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression

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    Pages 76-86

    A Simulation of Synthetic agr System in E.coli

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    Pages 87-98

    Gene Regulatory Networks from Gene Ontology

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    Pages 99-111

    Partitioning Biological Networks into Highly Connected Clusters with Maximum Edge Coverage

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    Pages 112-124

    Reconstructing k-Reticulated Phylogenetic Network from a Set of Gene Trees

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    Pages 125-136

    LCR_Finder: A de Novo Low Copy Repeat Finder for Human Genome

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    Pages 137-148

    Heuristic Algorithms for the Protein Model Assignment Problem

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    Pages 149-160

    Alignment of DNA Mass-Spectral Profiles Using Network Flows

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    Pages 161-172

    A Context-Driven Gene Prioritization Method for Web-Based Functional Genomics

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    Pages 173-184

    Exploiting Dependencies of Patterns in Gene Expression Analysis Using Pairwise Comparisons

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    Pages 185-198

    Cloud Computing for De Novo Metagenomic Sequence Assembly

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