4.7 Article

Census 2: isobaric labeling data analysis

期刊

BIOINFORMATICS
卷 30, 期 15, 页码 2208-2209

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btu151

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资金

  1. Sung Kyu Robin Park [AG031097, MH100175, UPENN GM1040, HHSN268201000035C]
  2. Daniel B. McClatchy [MH067880]
  3. Xuemei Han [HHSN268201000035C]
  4. Harshil Shah [HHSN268201000035C]
  5. Meha Singh [U19 AI063603]
  6. Navin Rauniyar [PROTEO/SFP1981]
  7. James Moresco [P41GM103533]
  8. Jolene Diedrich [HoffmanRocheSFP-2063]
  9. Claire Delahunty [MH067880, Rochester/DE008921]
  10. John R. Yates III [P41GM103533, R01 MH067880, R01 HL079442]

向作者/读者索取更多资源

We introduce Census 2, an update of a mass spectrometry data analysis tool for peptide/protein quantification. New features for analysis of isobaric labeling, such as Tandem Mass Tag (TMT) or Isobaric Tags for Relative and Absolute Quantification (iTRAQ), have been added in this version, including a reporter ion impurity correction, a reporter ion intensity threshold filter and an option for weighted normalization to correct mixing errors. TMT/iTRAQ analysis can be performed on experiments using HCD (High Energy Collision Dissociation) only, CID (Collision Induced Dissociation)/HCD (High Energy Collision Dissociation) dual scans or HCD triple-stage mass spectrometry data. To improve measurement accuracy, we implemented weighted normalization, multiple tandem spectral approach, impurity correction and dynamic intensity threshold features.

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