Perseus is a tool for the statistical analysis of omic data. The Perseus framework contains functions for normalization, pattern recognition, time-series analysis, cross-omics comparisons, multiple-hypothesis testing, prediction of protein signatures, classification and validation of patient groups. The Perseus framework can directly analyze the output from MaxQuant.
Gene expression; Proteomics; Statistics and probability
Cox J, Mann M "1D and 2D annotation enrichment: a statistical method integrating quantitative proteomics with complementary high-throughput data." BMC Bioinformatics 2012 https://doi.org/10.1186/1471-2105-13-S16-S12
PMID: 23176165
PMCID: PMC3489530
Rudolph JD, Cox J "A Network Module for the Perseus Software for Computational Proteomics Facilitates Proteome Interaction Graph Analysis." J Proteome Res, 2019 https://doi.org/10.1021/acs.jproteome.8b00927
PMID: 30931570
PMCID: PMC6578358
Tyanova S, Albrechtsen R, Kronqvist P, Cox J, Mann M, Geiger T "Proteomic maps of breast cancer subtypes." Nat Commun, 2016 https://doi.org/10.1038/ncomms10259
PMID: 26725330
PMCID: PMC4725767
Tyanova S, Temu T, Sinitcyn P, Carlson A, Hein MY, Geiger T, Mann M, Cox J "The Perseus computational platform for comprehensive analysis of (prote)omics data." Nat Methods, 2016 https://doi.org/10.1038/nmeth.3901
PMID: 27348712
PMCID: None
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