Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Web Server issue
pubmed:dateCreated
2005-6-27
pubmed:abstractText
One of the core activities of high-throughput proteomics is the identification of peptides from mass spectra. Some peptides can be identified using spectral matching programs like Sequest or Mascot, but many spectra do not produce high quality database matches. De novo peptide sequencing is an approach to determine partial peptide sequences for some of the unidentified spectra. A drawback of de novo peptide sequencing is that it produces a series of ordered and disordered sequence tags and mass tags rather than a complete, non-degenerate peptide amino acid sequence. This incomplete data is difficult to use in conventional search programs such as BLAST or FASTA. DeNovoID is a program that has been specifically designed to use degenerate amino acid sequence and mass data derived from MS experiments to search a peptide database. Since the algorithm employed depends on the amino acid composition of the peptide and not its sequence, DeNovoID does not have to consider all possible sequences, but rather a smaller number of compositions consistent with a spectrum. DeNovoID also uses a geometric indexing scheme that reduces the number of calculations required to determine the best peptide match in the database. DeNovoID is available at http://proteomics.mcw.edu/denovoid.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10424174, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10582570, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10637622, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10786887, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10866210, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10948493, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-10975459, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11157792, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11231557, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11354471, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11382361, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11403305, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11535179, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11821862, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-11962611, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12043600, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12096132, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12139310, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12143966, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12448884, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12610541, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12659190, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12676047, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-12870441, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-14558135, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-14640709, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-15080731, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-15121200, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-15359736, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-2156132, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-2231712, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-3162770, http://linkedlifedata.com/resource/pubmed/commentcorrection/15980493-9842738
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jul
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
W376-81
pubmed:dateRevised
2010-9-20
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
DeNovoID: a web-based tool for identifying peptides from sequence and mass tags deduced from de novo peptide sequencing by mass spectroscopy.
pubmed:affiliation
Bioinformatics Research Center, Medical College of Wisconsin, 8701 Watertown Plank Road, Milwaukee, WI 53213, USA. Halligan@mcw.edu
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Research Support, Non-U.S. Gov't, Research Support, N.I.H., Extramural