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The Pick of RECOMB 2014

Image courtesy of Leslie Gaffney of The Broad Institute.
Image courtesy of Leslie Gaffney of The Broad Institute.

Keen bioinformaticians will soon be on their way to the RECOMB 2014 conference, this year held in Pittsburgh, USA, April 2nd -5th. At PLOS Computational Biology we are delighted to have published five research articles in association with the conference, which is a key gathering of those focused on computational, mathematical and biological sciences.

The five articles appearing in PLOS Computational Biology are:

RECOMB Program Chair Roded Sharan explains that, “The five papers were published in full in a special RECOMB 2014 section of PLOS Computational Biology. All other papers that were accepted to RECOMB 2014 were invited for submission of an edited journal version to a special issue of the Journal of Computational Biology.“

Among these five articles are two that present new methods and are included in our Methods section.  “HapTree: A novel Bayesian framework for single individual polyplotyping using NGS data” introduces a new and efficient statistical method for analysing the phrasing of polyploid genomes.  The other paper presenting a new method is “MRFalign: Protein Homology Detection through Alignment of Markov Random Fields” which presents the advantages of MRF-MRF comparison over HMM-HMM comparison when detecting sequence-based protein homology.

This endeavour has been overseen by PLOS Computational Biology’s Thomas Lengauer. We would like to join Roded Sharan in thanking Thomas, Methods Deputy Editor, “for the countless hours he has spent on coordinating the review process and ensuring the success of this partnership”.


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