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Volumn 19, Issue 6, 2013, Pages 733-734

MiRNA-Seq normalization comparisons need improvement

Author keywords

[No Author keywords available]

Indexed keywords

MESSENGER RNA; MICRORNA;

EID: 84878079625     PISSN: 13558382     EISSN: 14699001     Source Type: Journal    
DOI: 10.1261/rna.037895.112     Document Type: Note
Times cited : (22)

References (7)
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    • Evaluation of normalization methods in mammalian microRNA-Seq data
    • Garmire LX, Subramaniam S. 2012. Evaluation of normalization methods in mammalian microRNA-Seq data. RNA 18: 1279-1288.
    • (2012) RNA , vol.18 , pp. 1279-1288
    • Garmire, L.X.1    Subramaniam, S.2
  • 3
    • 79960208246 scopus 로고    scopus 로고
    • Sequencing technology does not eliminate biological variability
    • Hansen KD, Wu Z, Irizarry RA, Leek JT. 2011. Sequencing technology does not eliminate biological variability. Nat Biotechnol 29: 572-573.
    • (2011) Nat Biotechnol , vol.29 , pp. 572-573
    • Hansen, K.D.1    Wu, Z.2    Irizarry, R.A.3    Leek, J.T.4
  • 4
    • 65649126066 scopus 로고    scopus 로고
    • Transcript length bias in RNA-seq data confounds systems biology
    • Oshlack A, Wakefield MJ. 2009. Transcript length bias in RNA-seq data confounds systems biology. Biol Direct 4: 14.
    • (2009) Biol Direct , vol.4 , pp. 14
    • Oshlack, A.1    Wakefield, M.J.2
  • 5
    • 77953176036 scopus 로고    scopus 로고
    • A scaling normalization method for differential expression analysis of RNA-seq data
    • doi: 10.1186/gb-2010-11-3-r25
    • Robinson MD, Oshlack A. 2010. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol 11: R25. doi: 10.1186/gb-2010-11-3-r25.
    • (2010) Genome Biol , vol.11
    • Robinson, M.D.1    Oshlack, A.2
  • 6
    • 75249087100 scopus 로고    scopus 로고
    • edgeR: A Bioconductor package for differential expression analysis of digital gene expression data
    • Robinson MD, McCarthy DJ, Smyth GK. 2010. edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26: 139-140.
    • (2010) Bioinformatics , vol.26 , pp. 139-140
    • Robinson, M.D.1    McCarthy, D.J.2    Smyth, G.K.3
  • 7
    • 41349099850 scopus 로고    scopus 로고
    • Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data
    • DOI 10.1186/1471-2105-9-25
    • Xiong H, Zhang D, Martyniuk CJ, Trudeau VL, Xia X. 2008. Using Generalized Procrustes Analysis (GPA) for normalization of cDNA microarray data. BMC Bioinformatics 9: 25. (Pubitemid 351448053)
    • (2008) BMC Bioinformatics , vol.9 , pp. 25
    • Xiong, H.1    Zhang, D.2    Martyniuk, C.J.3    Trudeau, V.L.4    Xia, X.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.