New Results
PEPA test: fast and powerful differential analysis from relative quantitative proteomics data using shared peptides
View ORCID ProfileLaurent Jacob, Florence Combes, Thomas Burger
doi: https://doi.org/10.1101/158212
Laurent Jacob
1Université de Lyon; Université Lyon 1; CNRS; UMR 5558, Laboratoire de Biométrie et Biologie Évolutive, Lyon, France
Florence Combes
2BIG-BGE (Université Grenoble Alpes, CNRS, CEA, INSERM), 38000 Grenoble, France
Thomas Burger
2BIG-BGE (Université Grenoble Alpes, CNRS, CEA, INSERM), 38000 Grenoble, France
Article usage
Posted June 30, 2017.
PEPA test: fast and powerful differential analysis from relative quantitative proteomics data using shared peptides
Laurent Jacob, Florence Combes, Thomas Burger
bioRxiv 158212; doi: https://doi.org/10.1101/158212
Subject Area
Subject Areas
- Biochemistry (11745)
- Bioengineering (8751)
- Bioinformatics (29195)
- Biophysics (14971)
- Cancer Biology (12095)
- Cell Biology (17411)
- Clinical Trials (138)
- Developmental Biology (9421)
- Ecology (14179)
- Epidemiology (2067)
- Evolutionary Biology (18306)
- Genetics (12245)
- Genomics (16802)
- Immunology (11867)
- Microbiology (28083)
- Molecular Biology (11592)
- Neuroscience (60965)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4959)
- Plant Biology (10427)
- Synthetic Biology (2885)
- Systems Biology (7339)
- Zoology (1651)