Literature DB >> 17902638

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

Robert D Bjornson1, Nicholas J Carriero, Christopher Colangelo, Mark Shifman, Kei-Hoi Cheung, Perry L Miller, Kenneth Williams.   

Abstract

The widespread use of mass spectrometry for protein identification has created a demand for computationally efficient methods of matching mass spectrometry data to protein databases. A search using X!Tandem, a popular and representative program, can require hours or days to complete, particularly when missed cleavages and post-translational modifications are considered. Existing techniques for accelerating X!Tandem by employing parallelism are unsatisfactory for a variety of reasons. The paper describes a parallelization of X!Tandem, called X!!Tandem, that shows excellent speedups on commodity hardware and produces the same results as the original program. Furthermore, the parallelization technique used is unusual and potentially useful for parallelizing other complex programs.

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Year:  2007        PMID: 17902638      PMCID: PMC3863625          DOI: 10.1021/pr0701198

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


  8 in total

1.  Probability-based protein identification by searching sequence databases using mass spectrometry data.

Authors:  D N Perkins; D J Pappin; D M Creasy; J S Cottrell
Journal:  Electrophoresis       Date:  1999-12       Impact factor: 3.535

2.  A method for reducing the time required to match protein sequences with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Rapid Commun Mass Spectrom       Date:  2003       Impact factor: 2.419

3.  The International Protein Index: an integrated database for proteomics experiments.

Authors:  Paul J Kersey; Jorge Duarte; Allyson Williams; Youla Karavidopoulou; Ewan Birney; Rolf Apweiler
Journal:  Proteomics       Date:  2004-07       Impact factor: 3.984

4.  TANDEM: matching proteins with tandem mass spectra.

Authors:  Robertson Craig; Ronald C Beavis
Journal:  Bioinformatics       Date:  2004-02-19       Impact factor: 6.937

5.  A high productivity/low maintenance approach to high-performance computation for biomedicine: four case studies.

Authors:  Nicholas Carriero; Michael V Osier; Kei-Hoi Cheung; Perry L Miller; Mark Gerstein; Hongyu Zhao; Baolin Wu; Scott Rifkin; Joseph Chang; Heping Zhang; Kevin White; Kenneth Williams; Martin Schultz
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

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

Authors:  Dexter T Duncan; Robertson Craig; Andrew J Link
Journal:  J Proteome Res       Date:  2005 Sep-Oct       Impact factor: 4.466

7.  General framework for developing and evaluating database scoring algorithms using the TANDEM search engine.

Authors:  Brendan MacLean; Jimmy K Eng; Ronald C Beavis; Martin McIntosh
Journal:  Bioinformatics       Date:  2006-07-28       Impact factor: 6.937

8.  An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database.

Authors:  J K Eng; A L McCormack; J R Yates
Journal:  J Am Soc Mass Spectrom       Date:  1994-11       Impact factor: 3.109

  8 in total
  53 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.  Scientific workflow management in proteomics.

Authors:  Jeroen S de Bruin; André M Deelder; Magnus Palmblad
Journal:  Mol Cell Proteomics       Date:  2012-03-12       Impact factor: 5.911

3.  YPED: a web-accessible database system for protein expression analysis.

Authors:  Mark A Shifman; Yuli Li; Christopher M Colangelo; Kathryn L Stone; Terence L Wu; Kei-Hoi Cheung; Perry L Miller; Kenneth R Williams
Journal:  J Proteome Res       Date:  2007-09-15       Impact factor: 4.466

4.  Typing and Characterization of Bacteria Using Bottom-up Tandem Mass Spectrometry Proteomics.

Authors:  Fredrik Boulund; Roger Karlsson; Lucia Gonzales-Siles; Anna Johnning; Nahid Karami; Omar Al-Bayati; Christina Åhrén; Edward R B Moore; Erik Kristiansson
Journal:  Mol Cell Proteomics       Date:  2017-04-18       Impact factor: 5.911

5.  Proteomic analysis of the Burkholderia pseudomallei type II secretome reveals hydrolytic enzymes, novel proteins, and the deubiquitinase TssM.

Authors:  Mary N Burtnick; Paul J Brett; David DeShazer
Journal:  Infect Immun       Date:  2014-05-27       Impact factor: 3.441

6.  Deep Proteomics Using Two Dimensional Data Independent Acquisition Mass Spectrometry.

Authors:  Kyung-Cho Cho; David J Clark; Michael Schnaubelt; Guo Ci Teo; Felipe da Veiga Leprevost; William Bocik; Emily S Boja; Tara Hiltke; Alexey I Nesvizhskii; Hui Zhang
Journal:  Anal Chem       Date:  2020-02-26       Impact factor: 6.986

7.  Deletion in the N-terminal half of olfactomedin 1 modifies its interaction with synaptic proteins and causes brain dystrophy and abnormal behavior in mice.

Authors:  Naoki Nakaya; Afia Sultana; Jeeva Munasinghe; Aiwu Cheng; Mark P Mattson; Stanislav I Tomarev
Journal:  Exp Neurol       Date:  2013-10-02       Impact factor: 5.330

8.  Protein vicinal thiol oxidations in the healthy brain: not so radical links between physiological oxidative stress and neural cell activities.

Authors:  Timothy D Foley; Kristen M Cantarella; Paul F Gillespie; Edward S Stredny
Journal:  Neurochem Res       Date:  2014-07-06       Impact factor: 3.996

9.  Accumulation of non-outer segment proteins in the outer segment underlies photoreceptor degeneration in Bardet-Biedl syndrome.

Authors:  Poppy Datta; Chantal Allamargot; Joseph S Hudson; Emily K Andersen; Sajag Bhattarai; Arlene V Drack; Val C Sheffield; Seongjin Seo
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-27       Impact factor: 11.205

Review 10.  Proteomics and the analysis of proteomic data: 2013 overview of current protein-profiling technologies.

Authors:  Can Bruce; Kathryn Stone; Erol Gulcicek; Kenneth Williams
Journal:  Curr Protoc Bioinformatics       Date:  2013-03
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