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Precursor intensity-based label-free quantification software tools for proteomic and multi-omic analysis within the Galaxy Platform. ABRF: Data was generated through the collaborative work of the ABRF Proteomics Research Group (https://abrf.org/research-group/proteomics-research-group-prg). See Reference for details: Van Riper, S. et al. ‘An ABRF-PRG study: Identification of low abundance proteins in a highly complex protein sample’ at the 64th Annual Conference of American Society of Mass Spectrometry and Allied Topics" at San Antonio, TX." UPS: MaxLFQ Cox J, Hein MY, Luber CA, Paron I, Nagaraj N, Mann M. Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol Cell Proteomics. 2014 Sep;13(9):2513-26. doi: 10.1074/mcp.M113.031591. Epub 2014 Jun 17. PubMed PMID: 24942700; PubMed Central PMCID: PMC4159666; PRIDE #5412; ProteomeXchange repository PXD000279: ftp://ftp.pride.ebi.ac.uk/pride/data/archive/2014/09/PXD000279
Proteomics, label-free quantification, Galaxy framework, workflows
Proteomics, label-free quantification, Galaxy framework, workflows
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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