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https://scholarbank.nus.edu.sg/handle/10635/41643
DC Field | Value | |
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dc.title | De novo peptide sequencing for mass spectra based on multi-charge strong tags | |
dc.contributor.author | Ning, K. | |
dc.contributor.author | Chong, K.F. | |
dc.contributor.author | Leong, H.W. | |
dc.date.accessioned | 2013-07-04T08:32:18Z | |
dc.date.available | 2013-07-04T08:32:18Z | |
dc.date.issued | 2007 | |
dc.identifier.citation | Ning, K.,Chong, K.F.,Leong, H.W. (2007). De novo peptide sequencing for mass spectra based on multi-charge strong tags. Series on Advances in Bioinformatics and Computational Biology 5 : 287-296. ScholarBank@NUS Repository. | |
dc.identifier.isbn | 9781860947834 | |
dc.identifier.issn | 17516404 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/41643 | |
dc.description.abstract | This paper presents an improved algorithm for de novo sequencing of multi-charge mass spectra. Recent work based on the analysis of multi-charge mass spectra showed that taking advantage of multi-charge information can lead to higher accuracy (sensitivity and specificity) in peptide sequencing. A simple de novo algorithm, called GBST (Greedy algorithm with Best Strong Tag) was proposed and was shown to produce good results for spectra with charge > 2. In this paper, we analyze some of the shortcomings of GBST. We then present a new algorithm GST-SPC, by extending the GBST algorithm in two directions. First, we use a larger set of multi-charge strong tags and show that this improves the theoretical upper bound on performance. Second, we give an algorithm that computes a peptide sequence that is optimal with respect to shared peaks count from among all sequences that are derived from multi-charge strong tags. Experimental results demonstrate the improvement of GST-SPC over GBST. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | COMPUTER SCIENCE | |
dc.description.sourcetitle | Series on Advances in Bioinformatics and Computational Biology | |
dc.description.volume | 5 | |
dc.description.page | 287-296 | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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