期刊
NATURE METHODS
卷 5, 期 4, 页码 319-322出版社
NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1195
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资金
- NCRR NIH HHS [P41 RR011823] Funding Source: Medline
- NHLBI NIH HHS [R01 HL079442] Funding Source: Medline
- NIDCR NIH HHS [DE016267, U01 DE016267] Funding Source: Medline
- NIGMS NIH HHS [P41 GM103533] Funding Source: Medline
- NIMH NIH HHS [R01 MH067880] Funding Source: Medline
- NATIONAL CENTER FOR RESEARCH RESOURCES [P41RR011823] Funding Source: NIH RePORTER
- NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [R01HL079442] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF DENTAL &CRANIOFACIAL RESEARCH [U01DE016267] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [P41GM103533] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE OF MENTAL HEALTH [R01MH067880] Funding Source: NIH RePORTER
We describe Census, a quantitative software tool compatible with many labeling strategies as well as with label-free analyses, single-stage mass spectrometry (MS1) and tandem mass spectrometry (MS/MS) scans, and high-and low-resolution mass spectrometry data. Census uses robust algorithms to address poor-quality measurements and improve quantitative efficiency, and it can support several input file formats. We tested Census with stable-isotope labeling analyses as well as label-free analyses.
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