Improving the success rate of proteome analysis by modeling protein-abundance distributions and experimental designs

Nature Biotechnology

Volumn 25, Issue 6, 2007, Pages 651-655

  Eriksson, Jan ^a   Fenyö, David ^b  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b ROCKEFELLER UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMARKERS; COMPUTER SIMULATION; IDENTIFICATION (CONTROL SYSTEMS); MASS SPECTROMETRY;

PROTEIN ABUNDANCE DISTRIBUTIONS; PROTEOME ANALYSIS; SYSTEMS BIOLOGY;

PROTEINS;

ARTICLE; COMPUTER SIMULATION; EXPERIMENTATION; MASS SPECTROMETRY; PRIORITY JOURNAL; PROTEIN ANALYSIS; PROTEIN LOCALIZATION; PROTEOMICS; QUANTITATIVE ANALYSIS; REVERSED PHASE LIQUID CHROMATOGRAPHY; SEPARATION TECHNIQUE;

COMPUTER SIMULATION; MASS SPECTROMETRY; MODELS, STATISTICAL; PEPTIDE MAPPING; PROTEOME; PROTEOMICS; REPRODUCIBILITY OF RESULTS; RESEARCH; SENSITIVITY AND SPECIFICITY; STATISTICAL DISTRIBUTIONS;

EID: 34250216392     PISSN: 10870156     EISSN: 15461696     Source Type: Journal    
DOI: 10.1038/nbt1315     Document Type: Article

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