Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:dateCreated
2006-1-10
pubmed:abstractText
The new technologies in mass spectrometric analysis of peptides and proteins necessary to accommodate proteomics-scale analyses require, in turn, concomitant development of informatics technologies suitable for very large-scale data handling and analysis. This chapter focuses on the data analysis tools available to the community for analysis of mass spectrometric proteomics data. Different database searching strategies are discussed for peptide and protein identification, and approaches and tools available for comparative quantitative analysis of samples are outlined.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
0076-6879
pubmed:author
pubmed:issnType
Print
pubmed:volume
402
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
289-312
pubmed:dateRevised
2007-11-14
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Bioinformatic methods to exploit mass spectrometric data for proteomic applications.
pubmed:affiliation
Department of Pharmaceutical Chemistry, University of California, San Francisco, USA.
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural