Featured article: Scalable bioinformatics via workflow conversion

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Workflows help researchers with splitting complex experiments into the joint effort of several manageable tasks. In this article, the authors created a free and highly accessible way to design workflows on a desktop computer and execute them remotely on high-performance computing resources.

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Most Accessed Articles: BMC Bioinformaticshttp://bmcbioinformatics.biomedcentral.comMost Accessed Articles: BMC BioinformaticsQMachine: commodity supercomputing in web browsershttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-176Ongoing advancements in cloud computing provide novel opportunities in scientific computing, especially for distributed workflows. Modern web browsers can now be used as high-performance workstations for query...Mon, 09 Jun 2014 00:00:00 GMThttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-176Sean R Wilkinson and Jonas S Almeida2014-06-09T00:00:00ZRSEM: accurate transcript quantification from RNA-Seq data with or without a reference genomehttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-12-323RNA-Seq is revolutionizing the way transcript abundances are measured. A key challenge in transcript quantification from RNA-Seq data is the handling of reads that map to multiple genes or isoforms. This issue...Thu, 04 Aug 2011 00:00:00 GMThttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-12-323Bo Li and Colin N Dewey2011-08-04T00:00:00ZA comparison of methods for differential expression analysis of RNA-seq datahttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-91Finding genes that are differentially expressed between conditions is an integral part of understanding the molecular basis of phenotypic variation. In the past decades, DNA microarrays have been used extensiv...Sat, 09 Mar 2013 00:00:00 GMThttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-14-91Charlotte Soneson and Mauro Delorenzi2013-03-09T00:00:00ZWGCNA: an R package for weighted correlation network analysishttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns am...Mon, 29 Dec 2008 00:00:00 GMThttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-9-559Peter Langfelder and Steve Horvath2008-12-29T00:00:00ZPrimer-BLAST: A tool to design target-specific primers for polymerase chain reactionhttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-134Choosing appropriate primers is probably the single most important factor affecting the polymerase chain reaction (PCR). Specific amplification of the intended target requires that primers do not have matches ...Mon, 18 Jun 2012 00:00:00 GMThttp://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-13-134Jian Ye, George Coulouris, Irena Zaretskaya, Ioana Cutcutache, Steve Rozen and Thomas L Madden2012-06-18T00:00:00Z

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BMC Bioinformatics publishes selected collections of research articles, conference proceedings, reviews and reports as supplements. While we build our new sites all supplements will be available here.

Aims and 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.

Section Editors

  • John S Garavelli, University of Delaware
  • Lukasz Kurgan, Virginia Commonwealth University
  • Adam Olshen, University of California, San Francisco
  • Hanchuan Peng, Allen Institute for Brain Science
  • Graziano Pesole, University of Bari
  • Olivier Poch, ICube Laboratory, Strasbourg
  • Mihai Pop, University of Maryland
  • Hagit Shatkay, University of Delaware
  • Jean-Philippe Vert, Mines ParisTech

Executive Editor

  • Dirk Krüger, BioMed Central