PMID- 20717493
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231105
IS  - 0974-276X (Print)
IS  - 0974-276X (Electronic)
IS  - 0974-276X (Linking)
VI  - 3
DP  - 2010 Apr 1
TI  - Two-phase Filtering Strategy for Efficient Peptide Identification from Mass 
      Spectrometry.
PG  - 121-129
AB  - Peptide identification by tandem mass spectrometry (MS/MS) is one of the most 
      important problems in proteomics. Recent advances in high throughput MS/MS 
      experiments result in huge amount of spectra, and the peptide identification 
      process should keep pace. In this paper, we strive to achieve high accuracy and 
      efficiency for peptide identification with the presence of noise by a two-phase 
      filtering strategy. Our algorithm transforms spectra to high dimensional vectors, 
      and then uses self-organizing map (SOM) and multi-point range query (MPRQ) as 
      very efficient coarse filters to select a number of candidate peptides from 
      database. These candidate peptides are subsequently scored and ranked by an 
      accurate tag-based scoring function S(lambda). Experiments showed that our approach is 
      both fast and accurate for peptide identification.
FAU - Ng, Hoong Kee
AU  - Ng HK
AD  - Department of Computer Science, National University of Singapore, Singapore 
      117417.
FAU - Ning, Kang
AU  - Ning K
FAU - Leong, Hon Wai
AU  - Leong HW
LA  - eng
GR  - R01 CA126239/CA/NCI NIH HHS/United States
GR  - R01 CA126239-03/CA/NCI NIH HHS/United States
PT  - Journal Article
PL  - United States
TA  - J Proteomics Bioinform
JT  - Journal of proteomics & bioinformatics
JID - 101479045
PMC - PMC2921811
MID - NIHMS208465
EDAT- 2010/08/19 06:00
MHDA- 2010/08/19 06:01
PMCR- 2010/08/16
CRDT- 2010/08/19 06:00
PHST- 2010/08/19 06:00 [entrez]
PHST- 2010/08/19 06:00 [pubmed]
PHST- 2010/08/19 06:01 [medline]
PHST- 2010/08/16 00:00 [pmc-release]
AID - 10.4172/jpb.1000130 [doi]
PST - ppublish
SO  - J Proteomics Bioinform. 2010 Apr 1;3:121-129. doi: 10.4172/jpb.1000130.