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
  • Gordon K Smyth, Walter and Eliza Hall Institute of Medical Research

Executive Editor

  • Kate Rice, BioMed Central

Articles

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  • Image attributed to: Fig 5 Pillmann et al BMC Bioinfo (2011) 12,270

    Integrated analysis of exome sequencing data

    The Atlas2 is an analysis suite for variant calling in whole exome sequencing that combines regression models and user-adjustable cutoffs in order to separate true SNPs and INDELs from sequencing and mapping errors, with high sensitivity

    BMC Bioinformatics 2012, 13:8
  • Image attributed to: Fig 3 Chapter 6 RNA and DNA Editing Rosenberg et al 2011

    Bias correction for RNA-seq data

    The combination of three different strategies for GC-content normalization of RNA-seq data leads to more accurate estimations of gene expression levels and fold-changes, making statistical inference of differential expression less prone to false discoveries.

    BMC Bioinformatics 2011, 12:480
  • Image attributed to: Adapted from Fig 1 Boeker et al BMC Bioinfo (2011) 12,456

    Widespread error in biomedical ontologies

    Almost a quarter of all existential restrictions in the Open Biomedical Ontologies (OBO) Foundry contain assertions that do not properly describe the underlying biological reality, suggesting that a restriction to fewer, well-defined, relation types is needed.

    BMC Bioinformatics 2011, 12:456
  • Image attributed to: Fig 2 Kim et al 2008 BMC Bioinfo 9, 10

    Enriching corpora with meta-knowledge

    An annotation scheme for meta-knowledge enrichment of biomedical event corpora achieves high levels of inter-annotator agreement when applied to the GENIA event corpus, and facilitates more sophisticated training of information extraction systems.

    BMC Bioinformatics 2011, 12:393
  • Image attributed to: Adapted from Fig 1 Bult et al. 2011

    Protein complex ontology

    ProComp is a component of the Protein Ontology (PRO) database for implementing a logical and consistent representation of protein complexes, and facilitates robust annotation of variations in composition and function contexts within and between species

    BMC Bioinformatics 2011, 12:371

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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.

Latest supplements

Volume 13 Suppl 1 (25 January 2012)

Semantic Web Applications and Tools for Life Sciences (SWAT4LS) 2010

Research
Berlin, Germany. 10 December 2010

Volume 12 Suppl 15 (15 December 2011)

Data publishing framework for primary biodiversity data

Research

Volume 12 Suppl 14 (14 December 2011)

22nd International Conference on Genome Informatics: Bioinformatics

Proceedings
Busan, Korea. 5-7 December 2011

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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