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Volumn 27, Issue 21, 2011, Pages 3072-3073

Mapreduce implementation of a hybrid spectral library-database search method for large-scale peptide identification

Author keywords

[No Author keywords available]

Indexed keywords

PEPTIDE;

EID: 80054897572     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btr523     Document Type: Article
Times cited : (23)

References (3)
  • 1
    • 79955813710 scopus 로고    scopus 로고
    • Large improvements in MS/MS based peptide identification rates using a hybrid analysis
    • Cannon,W.R. et al. (2011) Large improvements in MS/MS based peptide identification rates using a hybrid analysis. J Proteome Res., 10, 2306-2317.
    • (2011) J Proteome Res , vol.10 , pp. 2306-2317
    • Cannon, W.R.1
  • 2
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: simplified data processing on large clusters
    • Dean,J. and Ghemawat,S. (2008) MapReduce: simplified data processing on large clusters. Commun. ACM, 51, 107-113.
    • (2008) Commun. ACM , vol.51 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 3
    • 67049134015 scopus 로고    scopus 로고
    • Low-cost, scalable proteomics data analysis using Amazon's cloud computing services and open source search algorithms
    • Halligan,B.D. et al. (2009) Low-cost, scalable proteomics data analysis using Amazon's cloud computing services and open source search algorithms. J. Proteome Res., 8, 3148-3153.
    • (2009) J. Proteome Res. , vol.8 , pp. 3148-3153
    • Halligan, B.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.