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Volumn 34, Issue 11, 2013, Pages 1581-1582

Best practices for evaluating mutation prediction methods

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA;

EID: 84885420685     PISSN: 10597794     EISSN: 10981004     Source Type: Journal    
DOI: 10.1002/humu.22401     Document Type: Letter
Times cited : (6)

References (15)
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  • 3
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    • DOI:10.1038/news.2010.679.
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    • Analysis of insertion-deletion from deep-sequencing data: software evaluation for optimal detection
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    • Neuman, J.1    Isakov, O.2    Shomron, M.3
  • 8
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    • Strategies for exome and genome sequence data analysis in disease-gene discovery projects
    • Robinson P, Krawitz P, Mundlos S. 2011. Strategies for exome and genome sequence data analysis in disease-gene discovery projects. Clin Genet 80:127-132.
    • (2011) Clin Genet , vol.80 , pp. 127-132
    • Robinson, P.1    Krawitz, P.2    Mundlos, S.3
  • 9
    • 0031880376 scopus 로고    scopus 로고
    • Information analysis of human mRNA splicing mutations
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    • Rogan, P.K.1    Faux, B.2    Schneider, T.D.3
  • 10
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    • CONSORT Group.
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    • (2007) BMC Bioinformatics , vol.8 , pp. 17
    • Seringhaus, M.R.1    Gerstein, M.B.2
  • 12
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    • RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression
    • Shapiro MB, Senapathy P. 1987. RNA splice junctions of different classes of eukaryotes: sequence statistics and functional implications in gene expression. Nucleic Acids Res 15:7155-7174.
    • (1987) Nucleic Acids Res , vol.15 , pp. 7155-7174
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    • Guidelines for reporting and using prediction tools for genetic variation analysis
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    • Vihinen, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.