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Research in Computational Molecular Biology

17th Annual International Conference, RECOMB 2013, Beijing, China, April 7-10, 2013. Proceedings

  • Conference proceedings
  • © 2013

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Editors:
  1. Minghua Deng

    1. School of Mathematics, Peking University, Beijing, P.R. China

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  2. Rui Jiang

    1. Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, P.R. China

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  3. Fengzhu Sun

    1. Molecular and Computational Biology Program, University of Southern California, Los Angeles, USA

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  4. Xuegong Zhang

    1. Department of Automation, Tsinghua University, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7821)

Part of the book sub series: Lecture Notes in Bioinformatics (LNBI)

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Conference proceedings info: RECOMB 2013.

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About this book

This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequencing and genotyping technologies; genomics; epigenomics; metagenomics; population, statistical genetics; systems biology; computational proteomics; computational structural biology; imaging; large-scale data management.

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Table of contents (32 papers)

  1. Front Matter

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  2. Reconciliation Revisited: Handling Multiple Optima When Reconciling with Duplication, Transfer, and Loss

    • Mukul S. Bansal, Eric J. Alm, Manolis Kellis
    Pages 1-13

  3. SEME: A Fast Mapper of Illumina Sequencing Reads with Statistical Evaluation

    • Shijian Chen, Anqi Wang, Lei M. Li
    Pages 14-29

  4. Dissecting Cancer Heterogeneity with a Probabilistic Genotype-Phenotype Model

    • Dong-Yeon Cho, Teresa M. Przytycka
    Pages 30-31

  5. eALPS: Estimating Abundance Levels in Pooled Sequencing Using Available Genotyping Data

    • Itamar Eskin, Farhad Hormozdiari, Lucia Conde, Jacques Riby, Chris Skibola, Eleazar Eskin et al.
    Pages 32-44

  6. Analysis of Metabolic Evolution in Bacteria Using Whole-Genome Metabolic Models

    • Ali A. Faruqi, William A. Bryant, John W. Pinney
    Pages 45-57

  7. Detecting Protein Conformational Changes in Interactions via Scaling Known Structures

    • Fei Guo, Shuai Cheng Li, Wenji Ma, Lusheng Wang
    Pages 58-74

  8. IPED: Inheritance Path Based Pedigree Reconstruction Algorithm Using Genotype Data

    • Dan He, Zhanyong Wang, Buhm Han, Laxmi Parida, Eleazar Eskin
    Pages 75-87

  9. An Optimal Algorithm for Building the Majority Rule Consensus Tree

    • Jesper Jansson, Chuanqi Shen, Wing-Kin Sung
    Pages 88-99

  10. UniNovo : A Universal Tool for de Novo Peptide Sequencing

    • Kyowon Jeong, Sangtae Kim, Pavel A. Pevzner
    Pages 100-117

  11. Efficiently Identifying Significant Associations in Genome-Wide Association Studies

    • Emrah Kostem, Eleazar Eskin
    Pages 118-131

  12. Identification of Ultramodified Proteins Using Top-Down Spectra

    • Xiaowen Liu, Shawna Hengel, Si Wu, Nikola Tolić, Ljiljana Pasa-Tolić, Pavel A. Pevzner
    Pages 132-144

  13. Distinguishing between Genomic Regions Bound by Paralogous Transcription Factors

    • Alina Munteanu, Raluca Gordân
    Pages 145-157

  14. Assembling Genomes and Mini-metagenomes from Highly Chimeric Reads

    • Sergey Nurk, Anton Bankevich, Dmitry Antipov, Alexey Gurevich, Anton Korobeynikov, Alla Lapidus et al.
    Pages 158-170

  15. Inferring Intra-tumor Heterogeneity from High-Throughput DNA Sequencing Data

    • Layla Oesper, Ahmad Mahmoody, Benjamin J. Raphael
    Pages 171-172

  16. NP-MuScL: Unsupervised Global Prediction of Interaction Networks from Multiple Data Sources

    • Kriti Puniyani, Eric P. Xing
    Pages 173-185

  17. High Resolution Modeling of Chromatin Interactions

    • Christopher Reeder, David Gifford
    Pages 186-198

  18. A Linear Inside-Outside Algorithm for Correcting Sequencing Errors in Structured RNAs

    • Vladimir Reinharz, Yann Ponty, Jérôme Waldispühl
    Pages 199-211

  19. An Accurate Method for Inferring Relatedness in Large Datasets of Unphased Genotypes via an Embedded Likelihood-Ratio Test

    • Jesse M. Rodriguez, Serafim Batzoglou, Sivan Bercovici
    Pages 212-229

  20. Learning Natural Selection from the Site Frequency Spectrum

    • Roy Ronen, Nitin Udpa, Eran Halperin, Vineet Bafna
    Pages 230-233
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Other volumes

  1. Research in Computational Molecular Biology

Editors and Affiliations

  • School of Mathematics, Peking University, Beijing, P.R. China

    Minghua Deng

  • Bioinformatics Division, TNLIST/Department of Automation, Tsinghua University, Beijing, P.R. China

    Rui Jiang

  • Molecular and Computational Biology Program, University of Southern California, Los Angeles, USA

    Fengzhu Sun

  • Department of Automation, Tsinghua University, Beijing, China

    Xuegong Zhang

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