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BMC Bioinformatics

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Volume 14 Supplement 13

Selected articles from the 9th Annual Biotechnology and Bioinformatics Symposium (BIOT 2012)

Research

Edited by Quinn Snell and Mark Clement

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 9th Annual Biotechnology and Bioinformatics Symposium (BIOT 2012). Go to conference site.

Provo, UT, USA25-26 October 2012

  1. Content type: Research

    Identification of the genetic alterations responsible for human disease is a central challenge facing medical genetics. While many algorithms have been developed to predict the degree of damage caused by a giv...

    Authors: Brendan D O'Fallon, Whitney Wooderchak-Donahue, Pinar Bayrak-Toydemir and David Crockett

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S1

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  2. Content type: Research

    Variant discovery for rare genetic diseases using Illumina genome or exome sequencing involves screening of up to millions of variants to find only the one or few causative variant(s). Sequencing or alignment ...

    Authors: Jacob Durtschi, Rebecca L Margraf, Emily M Coonrod, Kalyan C Mallempati and Karl V Voelkerding

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S2

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  3. Content type: Research

    This paper introduces and applies a genome wide predictive study to learn a model that predicts whether a new subject will develop breast cancer or not, based on her SNP profile.

    Authors: Mohsen Hajiloo, Babak Damavandi, Metanat HooshSadat, Farzad Sangi, John R Mackey, Carol E Cass, Russell Greiner and Sambasivarao Damaraju

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S3

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  4. Content type: Research

    Since the advent of microarray technology, numerous methods have been devised to infer gene regulatory relationships from gene expression data. Many approaches that infer entire regulatory networks. This produ...

    Authors: James D Jensen, Daniel M Jensen, Mark J Clement and Quinn O Snell

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S5

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  5. Content type: Research

    Molecular evolution is a very active field of research, with several complementary approaches, including dN/dS, HON90, MM01, and others. Each has documented strengths and weaknesses, and no one approach provides ...

    Authors: David A McClellan

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S6

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  6. Content type: Research

    In order to better understand cancer as a complex disease with multiple genetic and epigenetic factors, it is vital to model the fundamental biological relationships among these alterations as well as their re...

    Authors: Wenting Wang, Veerabhadran Baladandayuthapani, Chris C Holmes and Kim-Anh Do

    Citation: BMC Bioinformatics 2013 14(Suppl 13):S8

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2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    Usage 
    3784657 downloads
    1405 Usage Factor


    Social Media Impact
    816 mentions

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