Genome Biology

official impact factor 6.89

Open Access Highly Access

Status of complete proteome analysis by mass spectrometry: SILAC labeled yeast as a model system

Lyris MF de Godoy, Jesper V Olsen, Gustavo A de Souza, Guoqing Li, Peter Mortensen and Matthias Mann*

Genome Biology 2006, 7:R50 doi:10.1186/gb-2006-7-6-r50

Accesses  

  • Last 30 days: 96 accesses
  • Last year: 1349 accesses
  • All time: 11568 accesses

Cited by

BioMed Central: 8 citations

Database   Open Access

The Drosophila melanogaster PeptideAtlas facilitates the use of peptide data for improved fly proteomics and genome annotation

Sandra N Loevenich, Erich Brunner, Nichole L King, Eric W Deutsch, Stephen E Stein, Ruedi Aebersold, Ernst Hafen BMC Bioinformatics 2009, 10:59 (11 February 2009)

Research article   Open Access

Simulating in vitro transcriptional response of zinc homeostasis system in Escherichia coli

Jiangjun Cui, Jaap A Kaandorp, Catherine M Lloyd BMC Systems Biology 2008, 2:89 (24 October 2008)

Research   Open Access

Comprehensive analysis of the mouse renal cortex using two-dimensional HPLC – tandem mass spectrometry

Yingxin Zhao, Larry Denner, Sigmund J Haidacher, Wanda S LeJeune, Ronald G Tilton Proteome Science 2008, 6:15 (23 May 2008)

Methodology article   Open Access Highly Accessed

Significance analysis of microarray for relative quantitation of LC/MS data in proteomics

Bryan AP Roxas, Qingbo Li BMC Bioinformatics 2008, 9:187 (10 April 2008)

Research article   Open Access Highly Accessed

Protein abundance profiling of the Escherichia coli cytosol

Yasushi Ishihama, Thorsten Schmidt, Juri Rappsilber, Matthias Mann, F Ulrich Hartl, Michael J Kerner, Dmitrij Frishman BMC Genomics 2008, 9:102 (27 February 2008)

Methodology article   Open Access

A nonparametric model for quality control of database search results in shotgun proteomics

Jiyang Zhang, Jianqi Li, Xin Liu, Hongwei Xie, Yunping Zhu, Fuchu He BMC Bioinformatics 2008, 9:29 (21 January 2008)

Research   Open Access

An informatic pipeline for the data capture and submission of quantitative proteomic data using iTRAQTM

Jennifer A Siepen, Neil Swainston, Andrew R Jones, Sarah R Hart, Henning Hermjakob, Philip Jones, Simon J Hubbard Proteome Science 2007, 5:4 (1 February 2007)

Research   Open Access Highly Accessed

Identification of 491 proteins in the tear fluid proteome reveals a large number of proteases and protease inhibitors

Gustavo A de Souza, Lyris MF de Godoy, Matthias Mann Genome Biology 2006, 7:R72 (10 August 2006)

A proteomic analysis of the tear fluid suggests that an interplay between proteases and protease inhibitors, and between oxidative reactions, is an important feature of the ocular environment.