Matataki: an ultrafast mRNA quantification method for large-scale reanalysis of RNA-Seq data.

ABSTRACT:

Background

Data generated by RNA sequencing (RNA-Seq) is now accumulating in vast amounts in public repositories, especially for human and mouse genomes. Reanalyzing these data has emerged as a promising approach to identify gene modules or pathways. Although meta-analyses of gene expression data are frequently performed using microarray data, meta-analyses using RNA-Seq data are still rare. This lag is partly due to the limitations in reanalyzing RNA-Seq data, which requires extensive computational resources. Moreover, it is nearly impossible to calculate the gene expression levels of all samples in a public repository using currently available methods. Here, we propose a novel method, Matataki, for rapidly estimating gene expression levels from RNA-Seq data.

Results

The pr

SUBMITTER: Okamura Y 

PROVIDER: S-EPMC6048772 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature