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Data quality issues in proteomics – there are many paths to enlightenment
Author(s) -
Haynes Paul A.,
Stein Stephen E.,
Washburn Michael P.
Publication year - 2016
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.201600277
Subject(s) - computer science , proteomics , data science , field (mathematics) , pipeline (software) , data analysis , quality (philosophy) , software , data mining , chemistry , biochemistry , philosophy , mathematics , epistemology , pure mathematics , gene , programming language
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