easyRNASeq, an overview
نویسنده
چکیده
4 easyRNASeq 6 4.1 usage . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 4.2 warnings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 4.3 arguments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 4.4 Critical information regarding the input . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 4.5 different input . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 4.6 different annotation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 4.7 different output . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 4.8 different summarization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 4.9 optional correction or normalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17 4.10 Performance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
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easyRNASeq: a bioconductor package for processing RNA-Seq data
MOTIVATION RNA sequencing is becoming a standard for expression profiling experiments and many tools have been developed in the past few years to analyze RNA-Seq data. Numerous 'Bioconductor' packages are available for next-generation sequencing data loading in R, e.g. ShortRead and Rsamtools as well as to perform differential gene expression analyses, e.g. DESeq and edgeR. However, the process...
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