BMC Bioinformatics

official impact factor 3.03

Section Editors

  • Adam Godzik, Sanford-Burnham Medical Research Institute and UCSD
  • Lawrence Hunter, University of Colorado Denver
  • Igor Jurisica, Ontario Cancer Institute
  • Burkhard Morgenstern, University of Gottingen
  • Alexey Nesvizhskii, University of Michigan
  • Adam Olshen, University of California, San Francisco
  • Hanchuan Peng, Howard Hughes Medical Institute
  • Graziano Pesole, University of Bari
  • Mihai Pop, University of Maryland

Executive Editor

  • Kate Rice, BioMed Central

Articles

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  • Image attributed to: Credit: From Yip et al. BMC Bioinformatics 10:241

    Ranking protein-protein interactions

    A novel unsupervised statistical approach for ranking protein-protein interactions called interaction detection based on shuffling reduces inherent experiment-dependent noise and increases the likelihood of detecting high confidence protein interactions.

    BMC Bioinformatics 2012, 13:79
  • Image attributed to: Taken from Figure 4, Cheng et al. 2012

    CASP tested toolbox for protein structure prediction

    MULTICOM Toolbox contains an array of extensively tested and high performance tools aimed at reducing the growing gap between derived protein sequences and structural determination, that includes both secondary and tertiary structure predictors

    BMC Bioinformatics 2012, 13:65
  • Image attributed to: Taken from Figure 4

    A novel greedy algorithm for NGS assembly

    Mapsembler, a sequence assembly tool for desktop computers, uses NGS reads from newly sequenced, non-assembled genomes or transcriptomes to provide targeted assemblies and has retrieved known gene fusions in human cancer and discovered new ones

    BMC Bioinformatics 2012, 13:48
  • Image attributed to: via Wikimedia Commons

    Virtual machine for high-performance bioinformatics

    Cloud BioLinux includes over 135 pre-configured bioinformatics tools for sequence alignment, clustering, assembly, display and phylogeny, aimed at reducing costs to researchers of maintaining and configuring hardware, and encouraging sharing of codebase.

    BMC Bioinformatics 2012, 13:42
  • Image attributed to: via Wikimedia Commons

    A Bacterial genome protein function predictor

    BLANNOTATOR, an automated, accurate method for bacterial genome annotation, applicable to metagenomics research as it does not require pre-existing sequence clustering, has outperformed five tested methods even in the absence of highly similar sequence hits.

    BMC Bioinformatics 2012, 13:33
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Scope

BMC Bioinformatics is an open access, peer-reviewed journal that considers articles on all aspects of the development, testing and novel application of computational and statistical methods for the modeling and analysis of all kinds of biological data, as well as other areas of computational biology.

It is journal policy to publish work deemed by peer reviewers to be a coherent and sound addition to scientific knowledge and to put less emphasis on interest levels, provided that the research constitutes a useful contribution to the field.

Call for papers

BMC Bioinformatics is accepting submissions to an article series on Cancer bioinformatics: Bioinformatic methods, network biomarkers and precision medicine. Jointly published across BMC Bioinformatics, BMC Cancer, Genome Medicine and Journal of Clinical Bioinformatics, submissions will be welcomed until 1st November 2012. Please see the call for papers for details including how to submit.

Quote

Sally Blower

"I strongly believe in the internet and open-access publishing in order to achieve scientific outreach both within academia and outside academia. Open-access allows anyone in the world with access to a computer to access scientific research. These innovative journals are becoming extremely successful and will change the nature of scientific publishing and increase the accessibility of science."

Professor Sally Blower
Semel Institute for Neuroscience & Human Behavior,
UCLA David Geffen School of Medicine, USA