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MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification

Summary: A MapReduce-based implementation called MR-MSPolygraph for parallelizing peptide identification from mass spectrometry data is presented. The underlying serial method, MSPolygraph, uses a novel hybrid approach to match an experimental spectrum against a combination of a protein sequence dat...

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Detalles Bibliográficos
Autores principales: Kalyanaraman, Ananth, Cannon, William R., Latt, Benjamin, Baxter, Douglas J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3198583/
https://www.ncbi.nlm.nih.gov/pubmed/21926122
http://dx.doi.org/10.1093/bioinformatics/btr523
Descripción
Sumario:Summary: A MapReduce-based implementation called MR-MSPolygraph for parallelizing peptide identification from mass spectrometry data is presented. The underlying serial method, MSPolygraph, uses a novel hybrid approach to match an experimental spectrum against a combination of a protein sequence database and a spectral library. Our MapReduce implementation can run on any Hadoop cluster environment. Experimental results demonstrate that, relative to the serial version, MR-MSPolygraph reduces the time to solution from weeks to hours, for processing tens of thousands of experimental spectra. Speedup and other related performance studies are also reported on a 400-core Hadoop cluster using spectral datasets from environmental microbial communities as inputs. Availability: The source code along with user documentation are available on http://compbio.eecs.wsu.edu/MR-MSPolygraph. Contact: ananth@eecs.wsu.edu; william.cannon@pnnl.gov Supplementary Information: Supplementary data are available at Bioinformatics online.