Literature DB >> 24700319

rTANDEM, an R/Bioconductor package for MS/MS protein identification.

Frédéric Fournier1, Charles Joly Beauparlant1, René Paradis1, Arnaud Droit2.   

Abstract

SUMMARY: rTANDEM is an R/Bioconductor package that interfaces the X!Tandem protein identification algorithm. The package can run the multi-threaded algorithm on proteomic data files directly from R. It also provides functions to convert search parameters and results to/from R as well as functions to manipulate parameters and automate searches. An associated R package, shinyTANDEM, provides a web-based graphical interface to visualize and interpret the results. Together, those two packages form an entry point for a general MS/MS-based proteomic pipeline in R/Bioconductor.
AVAILABILITY AND IMPLEMENTATION: rTANDEM and shinyTANDEM are distributed in R/Bioconductor, http://bioconductor.org/packages/release/bioc/. The packages are under open licenses (GPL-3 and Artistice-1.0). CONTACT: frederic.fournier@crchuq.ulaval.ca or arnaud.droit@crchuq.ulaval.ca SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
© The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Mesh:

Year:  2014        PMID: 24700319     DOI: 10.1093/bioinformatics/btu178

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

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Authors:  Bo Wen; Shaohang Xu; Gloria M Sheynkman; Qiang Feng; Liang Lin; Quanhui Wang; Xun Xu; Jun Wang; Siqi Liu
Journal:  Bioinformatics       Date:  2014-07-22       Impact factor: 6.937

2.  CMPD: cancer mutant proteome database.

Authors:  Po-Jung Huang; Chi-Ching Lee; Bertrand Chin-Ming Tan; Yuan-Ming Yeh; Lichieh Julie Chu; Ting-Wen Chen; Kai-Ping Chang; Cheng-Yang Lee; Ruei-Chi Gan; Hsuan Liu; Petrus Tang
Journal:  Nucleic Acids Res       Date:  2014-11-14       Impact factor: 19.160

3.  PGA: an R/Bioconductor package for identification of novel peptides using a customized database derived from RNA-Seq.

Authors:  Bo Wen; Shaohang Xu; Ruo Zhou; Bing Zhang; Xiaojing Wang; Xin Liu; Xun Xu; Siqi Liu
Journal:  BMC Bioinformatics       Date:  2016-06-17       Impact factor: 3.169

  3 in total

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