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A practical guide to interpreting and generating bottom‐up proteomics data visualizations
Author(s) -
Schessner Julia Patricia,
Voytik Eugenia,
Bludau Isabell
Publication year - 2022
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202100103
Subject(s) - computer science , visualization , python (programming language) , data science , raw data , data visualization , proteomics , process (computing) , data mining , programming language , biology , biochemistry , gene