Philosopher: a versatile toolkit for shotgun proteomics data analysis
Nat Methods
.
2020 Sep;17(9):869-870.
doi: 10.1038/s41592-020-0912-y.
Authors
Felipe da Veiga Leprevost
1
,
Sarah E Haynes
1
,
Dmitry M Avtonomov
1
,
Hui-Yin Chang
1
,
Avinash K Shanmugam
1
2
,
Dattatreya Mellacheruvu
1
2
,
Andy T Kong
1
2
,
Alexey I Nesvizhskii
3
4
Affiliations
1
Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
2
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
3
Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
[email protected]
.
4
Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA.
[email protected]
.
PMID:
32669682
PMCID:
PMC7509848
DOI:
10.1038/s41592-020-0912-y
No abstract available
Publication types
Letter
Research Support, N.I.H., Extramural
MeSH terms
Computational Biology
Data Analysis
Databases, Protein
Proteomics / methods*
Proteomics / statistics & numerical data*
Software*
Grants and funding
R01 GM094231/GM/NIGMS NIH HHS/United States
U24 CA210967/CA/NCI NIH HHS/United States