Scotty: A web tool for designing RNA-Seq experiments to measure differential gene expression

Bioinformatics

Volumn 29, Issue 5, 2013, Pages 656-657

  Busby, Michele A ^a   Stewart, Chip ^a   Miller, Chase A ^a   Grzeda, Krzysztof R ^a   Marth, Gabor T ^a  

^a BOSTON COLLEGE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; COMPUTER PROGRAM; GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMAN; INTERNET; METHODOLOGY; SEQUENCE ANALYSIS;

GENE EXPRESSION; GENE EXPRESSION PROFILING; HUMANS; INTERNET; SEQUENCE ANALYSIS, RNA; SOFTWARE;

EID: 84874698718     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btt015     Document Type: Article

References (5)

1. Anders, S. and Huber, W. (2010) Differential expression analysis for sequence count data. Genome Biol., 11, R106.
2. Chow, S. C. et al. (2002) A note on sample size calculation for mean comparisons based on noncentral t-statistics. J. Biopharm. Stat., 12, 441-456.
3. Fang, Z. and Cui, X. (2011) Design and validation issues in RNA-seq experiments. Brief Bioinform., 12, 280-287.
4. Harrison, D. and Brady, A. (2004) Sample size and power calculations using the noncentral t-distribution. Stata J., 4, 142-153.
5. Seo, J. et al. (2006) An interactive power analysis tool for microarray hypothesis testing and generation. Bioinformatics, 22, 808-814.