Back to search

Article

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

2021-05-22

Abstract excerpt

<h4>ABSTRACT</h4> The huge body of publicly available 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 t...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
389c38ca-8102-5b20-a042-9ff698921e93
DOI
10.1101/2021.05.20.444982
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Kmerator Suite: design of specific k-mer signatures and automatic metadata discovery in large RNA-Seq datasetsDOI 10.1101/2021.05.20.444982
Select a neighboring publication to make it the new centre.