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BMC Bioinformatics

Volume 14 Supplement 11

Selected articles from The Second Workshop on Data Mining of Next-Generation Sequencing in conjunction with the 2012 IEEE International Conference on Bioinformatics and Biomedicine

Research

Edited by Dongxiao Zhu and Zhaohui S Qin

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.

The Second Workshop on Data Mining of Next-Generation Sequencing in conjunction with the 2012 IEEE International Conference on Bioinformatics and Biomedicine. Go to conference site.

Philadelphia, PA, USA4-7 October 2012

  1. Content type: Research

    Copy number variation (CNV) is a prevalent form of critical genetic variation that leads to an abnormal number of copies of large genomic regions in a cell. Microarray-based comparative genome hybridization (a...

    Authors: Min Zhao, Qingguo Wang, Quan Wang, Peilin Jia and Zhongming Zhao

    Citation: BMC Bioinformatics 2013 14(Suppl 11):S1

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  2. Content type: Research

    High-throughput sequencing (HTS) technologies are spearheading the accelerated development of biomedical research. Processing and summarizing the large amount of data generated by HTS presents a non-trivial ch...

    Authors: Zhe Zhang, Jeremy Leipzig, Ariella Sasson, Angela M Yu, Juan C Perin, Hongbo M Xie, Mahdi Sarmady, Patrick V Warren and Peter S White

    Citation: BMC Bioinformatics 2013 14(Suppl 11):S3

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  3. Content type: Research

    A wide variety of short-read alignment programmes have been published recently to tackle the problem of mapping millions of short reads to a reference genome, focusing on different aspects of the procedure suc...

    Authors: Nikolaos Alachiotis, Simon Berger, Tomáš Flouri, Solon P Pissis and Alexandros Stamatakis

    Citation: BMC Bioinformatics 2013 14(Suppl 11):S4

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  4. Content type: Research article

    In this work, we used the PROV-DM model to manage data provenance in workflows of genome projects. This provenance model allows the storage of details of one workflow execution, e.g., raw and produced data and...

    Authors: Renato de Paula, Maristela Holanda, Luciana SA Gomes, Sergio Lifschitz and Maria Emilia MT Walter

    Citation: BMC Bioinformatics 2013 14(Suppl 11):S6

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  5. Content type: Research

    Next generation sequencing technologies have greatly advanced many research areas of the biomedical sciences through their capability to generate massive amounts of genetic information at unprecedented rates. ...

    Authors: Julia D Warnke and Hesham H Ali

    Citation: BMC Bioinformatics 2013 14(Suppl 11):S7

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