General framework for developing and evaluating database scoring algorithms using the TANDEM search engine

scientific article published on 28 July 2006

General framework for developing and evaluating database scoring algorithms using the TANDEM search engine is …
instance of (P31):
scholarly articleQ13442814

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P8978DBLP publication IDjournals/bioinformatics/MacLeanEBM06
P356DOI10.1093/BIOINFORMATICS/BTL379
P698PubMed publication ID16877754
P5875ResearchGate publication ID6908383

P50authorJimmy K. EngQ63247801
P2093author name stringRonald C Beavis
Martin McIntosh
Brendan MacLean
P2860cites workUniProt: the Universal Protein knowledgebaseQ24598826
Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database searchQ28211385
Open mass spectrometry search algorithmQ28286936
TANDEM: matching proteins with tandem mass spectraQ29615238
ProbID: a probabilistic algorithm to identify peptides through sequence database searching using tandem mass spectral dataQ30745906
P433issue22
P407language of work or nameEnglishQ1860
P921main subjectalgorithmQ8366
databaseQ8513
P304page(s)2830-2832
P577publication date2006-07-28
P1433published inBioinformaticsQ4914910
P1476titleGeneral framework for developing and evaluating database scoring algorithms using the TANDEM search engine
P478volume22

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