Expression and Quantification

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Comparing Data Across RNA-Seq Studies

Comparing Data Across RNA-Seq Studies

High-throughput sequencing is now regularly used for studies of the transcriptome (RNA-seq), particularly for comparisons among experimental conditions. For the time being, a limited number of biological replicates are typically considered in such experiments, leading to low detection power for ...

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Fixseq – Universal count correction for high-throughput sequencing

Fixseq – Universal count correction for high-throughput sequencing

Researchers at MIT show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read count distributions that are not matched to existing computational method assumptions. To compensate for this overdispersion we introduce a nonparametric and universal method for processing ...

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Optimal Bayesian Classification Tutorial

Optimal Bayesian Classification Tutorial

An overview of the SAMCNet package (available at https://github.com/binarybana/samcnet) that implements optimal Bayesian classification for RNA-Seq data as part of an upcoming publication. (Publication details will follow once reviewed and accepted)

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