منابع مشابه
shRNA-seq data analysis with edgeR
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This article reviews the statistical theory underlying the edgeR software package for differential expression of RNA-seq data. Negative binomial models are used to capture the quadratic mean-variance relationship that can be observed in RNA-seq data. Conditional likelihood methods are used to avoid bias when estimating the level of variation. Empirical Bayes methods are used to allow gene-speci...
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The ability to easily and efficiently analyse RNA-sequencing data is a key strength of the Bioconductor project. Starting with counts summarised at the gene-level, a typical analysis involves pre-processing, exploratory data analysis, differential expression testing and pathway analysis with the results obtained informing future experiments and validation studies. In this workflow article, we a...
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Chromatin immunoprecipitation (ChIP) followed by highthroughput sequencing (ChIP-seq) is a powerful method to determine how transcription factors and other chromatin-associated proteins interact with DNA in order to regulate gene transcription. A single ChIPseq experiment produces large amounts of highly reproducible data. The challenge is to extract knowledge from the data by thoughtful applic...
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ژورنال
عنوان ژورنال: F1000Research
سال: 2014
ISSN: 2046-1402
DOI: 10.12688/f1000research.3928.1