OMICfpp: a fuzzy approach for paired RNA-Seq counts
Author:
Funder
Spanish Ministry of Economy and Competitiveness
Conicyt/Fondecyt, Chile
Publisher
Springer Science and Business Media LLC
Subject
Genetics,Biotechnology
Link
http://link.springer.com/content/pdf/10.1186/s12864-019-5496-5.pdf
Reference159 articles.
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2. Zhong W, Mark G, Michael S. RNA-Seq: a revolutionary tool for transcriptomics Zhong. Nat Rev Genet. 2009; 10(1):57–63. https://doi.org/10.1038/nrg2484 .
3. Casamassimi A, Federico A, Rienzo M, Esposito S, Ciccodicola A. Transcriptome profiling in human diseases: New advances and perspectives. Int J Mol Sci. 2017;18(8). https://doi.org/10.3390/ijms18081652 .
4. Dobin A, Davis CA, Schlesinger F, Drenkow J, Zaleski C, Jha S, Batut P, Chaisson M, Gingeras TR. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013; 29(1):15–21. https://doi.org/10.1093/bioinformatics/bts635 .
5. Trapnell C, Roberts A, Goff L, Pertea G, Kim D, Kelley DR, Pimentel H, Salzberg SL, Rinn JL, Pachter L. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks. Nat Protoc. 2012; 7:562–78. https://doi.org/10.1038/nprot.2012.016 .
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