Open AccessobaDIA: one-step biological analysis pipeline for data-independent acquisition and other quantitative proteomics data
Author(s) -
Jun Yan,
Hongning Zhai,
Ling Zhu,
Sasha Sa,
Xiaojun Ding
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa893
Subject(s) - proteomics , computer science , quantitative proteomics , pipeline (software) , annotation , kegg , visualization , data mining , quantitative analysis (chemistry) , computational biology , bioinformatics , biology , artificial intelligence , chemistry , gene ontology , chromatography , biochemistry , gene expression , gene , programming language
Data mining and data quality evaluation are indispensable constituents of quantitative proteomics, but few integrated tools available.
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