Statistical Similarities between Transcriptomics and Quantitative Shotgun Proteomics Data
Authors:
- Norman PavelkaNPNorman Pavelka
- Marjorie L. FournierMFMarjorie L. Fournier
- Selene K. SwansonSSSelene K. Swanson
- Mattia PelizzolaMattia Pelizzola
- Paola Ricciardi-CastagnoliPRPaola Ricciardi-Castagnoli
- Laurence FlorensLFLaurence Florens
- Michael P. WashburnMWMichael P. Washburn
Open Access
- 1 April 2008
- journal article
- research article
- Published by Elsevier in Molecular & Cellular Proteomics
- Vol. 7 (4) , 631-644
Abstract
No abstract availableKeywords
This publication has 60 references indexed in Scilit:
- Quantitative proteomic analysis of distinct mammalian Mediator complexes using normalized spectral abundance factorsProceedings of the National Academy of Sciences, 2006
- Analyzing chromatin remodeling complexes using shotgun proteomics and normalized spectral abundance factorsMethods, 2006
- BABELOMICS: a systems biology perspective in the functional annotation of genome-scale experimentsNucleic Acids Research, 2006
- A high-resolution map of transcription in the yeast genomeProceedings of the National Academy of Sciences, 2006
- Statistical significance for genomewide studiesProceedings of the National Academy of Sciences, 2003
- Mass spectrometry-based proteomicsNature, 2003
- A proteomic view of the Plasmodium falciparum life cycleNature, 2002
- A Model for Measurement Error for Gene Expression ArraysJournal of Computational Biology, 2001
- Significance analysis of microarrays applied to the ionizing radiation responseProceedings of the National Academy of Sciences, 2001
- An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein databaseJournal of the American Society for Mass Spectrometry, 1994