Kmerator Suite: design of specific k-mer signatures and automatic metadata discovery in large RNA-seq datasets.

ABSTRACT: The huge body of publicly available RNA-sequencing (RNA-seq) libraries is a treasure of functional information allowing to quantify the expression of known or novel transcripts in tissues. However, transcript quantification commonly relies on alignment methods requiring a lot of computational resources and processing time, which does not scale easily to large datasets. K-mer decomposition constitutes a new way to process RNA-seq data for the identification of transcriptional signatures, as k-mers can be used to quantify accurately gene expression in a less resource-consuming way. We present the Kmerator Suite, a set of three tools designed to extract specific k-mer signatures, quantify these k-mers into RNA-seq datasets and quickly visualize large dataset charac

SUBMITTER: Riquier S 

PROVIDER: S-EPMC8221386 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature