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pro vyhledávání: '"Paula Burton Ngov"'
Autor:
Anna Quaglieri, Joseph Bloom, Aaron Triantafyllidis, Bradley Green, Mark R. Condina, Paula Burton Ngov, Giuseppe Infusini, Andrew I. Webb
Data processing is essential to reliably generate knowledge from proteomics studies. The complexity of the proteomics data, as well as the ability of research teams to adopt complex analysis pipelines, have proven to be an obstacle to effective colla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::572dcef0df1eff7c7e172666a6250b56
https://doi.org/10.1101/2022.12.12.517480
https://doi.org/10.1101/2022.12.12.517480
Autor:
Aaron Triantafyllidis, Joseph Bloom, Andrew I. Webb, Paula Burton Ngov, Anna Quaglieri, Giuseppe Infusini
Publikováno v:
Journal of proteome research. 20(11)
Label-free quantification (LFQ) of shotgun proteomics data is a popular and robust method for the characterization of relative protein abundance between samples. Many analytical pipelines exist for the automation of this analysis, and some tools exis