Section Editors

  • John S Garavelli, University of Delaware
  • Adam Godzik, Sanford-Burnham Medical Research Institute and UCSD
  • Lawrence Hunter, University of Colorado Denver
  • Igor Jurisica, Ontario Cancer Institute
  • Adam Olshen, University of California, San Francisco
  • Hanchuan Peng, Allen Institute for Brain Science
  • Graziano Pesole, University of Bari
  • Mihai Pop, University of Maryland

Executive Editor

  • Irene Pala, BioMed Central

Articles

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  • Image attributed to: Taken from Sohn et al. BMC Bioinformatics 2014, 15:242, Figure 7

    TAEC – accurate quantification of genomes

    Taxonomic Analysis by Elimination and Correction outperforms other tools in estimating taxonomic composition at a very low rank, especially when closely related species/strains exist in a metagenomic sample.

    BMC Bioinformatics 2014, 15:242
  • Image attributed to: By Gnomehacker via Wikipedia

    MoTex-II for motifs

    MoTeX-II is  a word-based high-performance computing tool for single and  structured MoTif eXtraction from large-scale datasets where runtime does not depend on the length of motifs, the size of the alphabet, or the error thresholds

    BMC Bioinformatics 2014, 15:235
  • Image attributed to: Taken from Kalari et al. BMC Bioinformatics 2014, 15:224, Fig. 6

    MAP-RSeq from Mayo clinic

    A comprehensive analysis pipeline and workflow provides detailed research data reports for RNA-Seq; the software is available as a multi-threaded version for cluster use or single thread for a virtual machine

    BMC Bioinformatics 2014, 15:224
  • Image attributed to: Taken from Ferreira et al. BMC Bioinformatics 2014, 15:  fig 1

    Cache-Oblivious Parallel SIMD Viterbi (COPS)

    COPS introduces an optimized vectorization of the Viterbi decoding algorithm built to work with the HMMER tool suite to improve speed of biological sequence analysis, with long and short models being processed up to two times faster.

    BMC Bioinformatics 2014, 15:165
  • Image attributed to: Taken from Roux et al. BMC Bioinformatics 2014, fig 6

    Viral metagenome analysis web server

    Metavir 2 provides  a user-friendly comprehensive analysis environment for viral metagenomes,  including tools for multiple comparison and analysis, both from raw reads and from contig-assembled viromes.

    BMC Bioinformatics 2014, 15:76

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.

BMC Bioinformatics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.

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ISSN: 1471-2105