Universal Count Correction for High-Throughput Sequencing

作者：Hashimoto Tatsunori B^*; Edwards Matthew D; Gifford David K

来源：PLoS Computational Biology, 2014, 10(3): e1003494.

DOI：10.1371/journal.pcbi.1003494

We 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 per-base sequencing read count data called FIXSEQ. We demonstrate that FIXSEQ substantially improves the performance of existing RNA-seq, DNase-seq, and ChIP-seq analysis tools when compared with existing alternatives.

• 出版日期2014-3