MetaMap: an atlas of metatranscriptomic reads in human disease-related RNA-seq data.

ABSTRACT:

Background

With the advent of the age of big data in bioinformatics, large volumes of data and high-performance computing power enable researchers to perform re-analyses of publicly available datasets at an unprecedented scale. Ever more studies imply the microbiome in both normal human physiology and a wide range of diseases. RNA sequencing technology (RNA-seq) is commonly used to infer global eukaryotic gene expression patterns under defined conditions, including human disease-related contexts; however, its generic nature also enables the detection of microbial and viral transcripts.

Findings

We developed a bioinformatic pipeline to screen existing human RNA-seq datasets for the presence of microbial and viral reads by re-inspecting the non-human-mapping read fraction. We

SUBMITTER: Simon LM 

PROVIDER: S-EPMC6025204 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature