Literature DB >> 16212440

Parallel tandem: a program for parallel processing of tandem mass spectra using PVM or MPI and X!Tandem.

Dexter T Duncan1, Robertson Craig, Andrew J Link.   

Abstract

A method for the rapid correlation of tandem mass spectra to a list of protein sequences in a database has been developed. The combination of the fast and accurate computational search algorithm, X!Tandem, and a Linux cluster parallel computing environment with PVM or MPI, significantly reduces the time required to perform the correlation of tandem mass spectra to protein sequences in a database. A file of tandem mass spectra is divided into a specified number of files, each containing an equal number of the spectra from the larger file. These files are then searched in parallel against a protein sequence database. The results of each parallel output file are collated into one file for viewing through a web interface. Thousands of spectra can be searched in an accurate, practical, and time effective manner. The source code for running Parallel Tandem utilizing either PVM or MPI on Linux operating system is available from http://www.thegpm.org. This source code is made available under Artistic License from the authors.

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Year:  2005        PMID: 16212440     DOI: 10.1021/pr050058i

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  19 in total

1.  MR-Tandem: parallel X!Tandem using Hadoop MapReduce on Amazon Web Services.

Authors:  Brian Pratt; J Jeffry Howbert; Natalie I Tasman; Erik J Nilsson
Journal:  Bioinformatics       Date:  2011-11-08       Impact factor: 6.937

2.  X!!Tandem, an improved method for running X!tandem in parallel on collections of commodity computers.

Authors:  Robert D Bjornson; Nicholas J Carriero; Christopher Colangelo; Mark Shifman; Kei-Hoi Cheung; Perry L Miller; Kenneth Williams
Journal:  J Proteome Res       Date:  2007-09-29       Impact factor: 4.466

3.  Investigation of scrambled ions in tandem mass spectra, part 2. On the influence of the ions on peptide identification.

Authors:  Nai-ping Dong; Yi-zeng Liang; Lun-zhao Yi; Hong-mei Lu
Journal:  J Am Soc Mass Spectrom       Date:  2013-03-16       Impact factor: 3.109

4.  Faster SEQUEST searching for peptide identification from tandem mass spectra.

Authors:  Benjamin J Diament; William Stafford Noble
Journal:  J Proteome Res       Date:  2011-07-29       Impact factor: 4.466

5.  Mining PeptideAtlas for biomarkers and therapeutics in human disease.

Authors:  Sarah Killcoyne; Eric W Deutsch; John Boyle
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

6.  The antiretroviral lectin cyanovirin-N targets well-known and novel targets on the surface of Entamoeba histolytica trophozoites.

Authors:  Andrea Carpentieri; Daniel M Ratner; Sudip K Ghosh; Sulagna Banerjee; G Guy Bushkin; Jike Cui; Michael Lubrano; Martin Steffen; Catherine E Costello; Barry O'Keefe; Phillips W Robbins; John Samuelson
Journal:  Eukaryot Cell       Date:  2010-09-17

7.  Communication Lower-Bounds for Distributed-Memory Computations for Mass Spectrometry based Omics Data.

Authors:  Fahad Saeed; Muhammad Haseeb; S S Iyengar
Journal:  J Parallel Distrib Comput       Date:  2021-11-17       Impact factor: 3.734

8.  P-Mart: Interactive Analysis of Ion Abundance Global Proteomics Data.

Authors:  Lisa M Bramer; Kelly G Stratton; Amanda M White; Ameila H Bleeker; Markus A Kobold; Katrina M Waters; Thomas O Metz; Karin D Rodland; Bobbie-Jo M Webb-Robertson
Journal:  J Proteome Res       Date:  2019-02-06       Impact factor: 4.466

9.  High Performance Computing Framework for Tera-Scale Database Search of Mass Spectrometry Data.

Authors:  Muhammad Haseeb; Fahad Saeed
Journal:  Nat Comput Sci       Date:  2021-08-20

10.  Hydra: a scalable proteomic search engine which utilizes the Hadoop distributed computing framework.

Authors:  Steven Lewis; Attila Csordas; Sarah Killcoyne; Henning Hermjakob; Michael R Hoopmann; Robert L Moritz; Eric W Deutsch; John Boyle
Journal:  BMC Bioinformatics       Date:  2012-12-05       Impact factor: 3.169

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