TandTRAQ: An open-source tool for integrated protein identification and quantitation

Ted Laderas; Cory Bystrom; Debra Mcmillen; Guang Fan; Shannon Mcweeney

doi:10.1093/bioinformatics/btm467

TandTRAQ: An open-source tool for integrated protein identification and quantitation

Ted Laderas, Cory Bystrom, Debra Mcmillen, Guang Fan, Shannon Mcweeney

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

Summary: Integrating qualitative protein identification with quantitative protein analysis is non-trivial, given incompatibility in output formats. We present TandTRAQ, a standalone utility that integrates results from i-Tracker, an open-source iTRAQ quantitation program with the search results from X!Tandem, an open-source proteome search engine. The utility runs from the command-line and can be easily integrated into a pipeline for automation.

Original language	English (US)
Pages (from-to)	3394-3396
Number of pages	3
Journal	Bioinformatics
Volume	23
Issue number	24
DOIs	https://doi.org/10.1093/bioinformatics/btm467
State	Published - Dec 2007

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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10.1093/bioinformatics/btm467

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title = "TandTRAQ: An open-source tool for integrated protein identification and quantitation",

abstract = "Summary: Integrating qualitative protein identification with quantitative protein analysis is non-trivial, given incompatibility in output formats. We present TandTRAQ, a standalone utility that integrates results from i-Tracker, an open-source iTRAQ quantitation program with the search results from X!Tandem, an open-source proteome search engine. The utility runs from the command-line and can be easily integrated into a pipeline for automation.",

author = "Ted Laderas and Cory Bystrom and Debra Mcmillen and Guang Fan and Shannon Mcweeney",

note = "Funding Information: The authors extend their thanks to the reviewers for their comments that improved the clarity and flow of the manuscript. This work was funded in part by NIH grants from NCI (5P30 CA69533-09) and NCRR (1 UL1 RR024140-01).",

year = "2007",

month = dec,

doi = "10.1093/bioinformatics/btm467",

language = "English (US)",

volume = "23",

pages = "3394--3396",

journal = "Bioinformatics",

issn = "1367-4803",

publisher = "Oxford University Press",

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T2 - An open-source tool for integrated protein identification and quantitation

AU - Laderas, Ted

AU - Bystrom, Cory

AU - Mcmillen, Debra

AU - Fan, Guang

AU - Mcweeney, Shannon

N1 - Funding Information: The authors extend their thanks to the reviewers for their comments that improved the clarity and flow of the manuscript. This work was funded in part by NIH grants from NCI (5P30 CA69533-09) and NCRR (1 UL1 RR024140-01).

PY - 2007/12

Y1 - 2007/12

N2 - Summary: Integrating qualitative protein identification with quantitative protein analysis is non-trivial, given incompatibility in output formats. We present TandTRAQ, a standalone utility that integrates results from i-Tracker, an open-source iTRAQ quantitation program with the search results from X!Tandem, an open-source proteome search engine. The utility runs from the command-line and can be easily integrated into a pipeline for automation.

AB - Summary: Integrating qualitative protein identification with quantitative protein analysis is non-trivial, given incompatibility in output formats. We present TandTRAQ, a standalone utility that integrates results from i-Tracker, an open-source iTRAQ quantitation program with the search results from X!Tandem, an open-source proteome search engine. The utility runs from the command-line and can be easily integrated into a pipeline for automation.

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ER -

TandTRAQ: An open-source tool for integrated protein identification and quantitation

Abstract

ASJC Scopus subject areas

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