Linked Life Data

19911947

Source:http://linkedlifedata.com/resource/pubmed/id/19911947

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
5
pubmed:dateCreated
2009-12-16
pubmed:abstractText
Shotgun proteomic strategies based on the identification of proteolytic peptides by tandem mass spectrometry and sequence database searches have emerged as useful approaches for qualitative and quantitative measurement of proteins in large scale studies. Coincidentally, the automated analysis of the resulting mass spectrometry data has become increasingly challenging. Important steps in the analysis include the statistical validation of peptide and protein identifications, the extraction of quantitative information, and the interpretation of identified peptide and protein lists. This review discusses current informatics methods and software available to analyze shotgun proteomics data.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
1744-4160
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
115
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
311-9
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Elective affinities--bioinformatic analysis of proteomic mass spectrometry data.
pubmed:affiliation
Institute for Translational Medicine and Therapeutics, University of Pennsylvania, 421 Curie Blvd., Philadelphia, PA 19104, USA.
pubmed:publicationType
Journal Article, Review