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

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

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 resour...

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Bibliographic Details
Main Authors: Audoux, J. (Author), Bessiere, C. (Author), Bouge, A.-L (Author), Boureux, A. (Author), Commes, T. (Author), Gautheret, D. (Author), Gilbert, N. (Author), Guibert, B. (Author), Riquier, S. (Author), Ruffle, F. (Author), Xue, H. (Author)
Format: Article
Language:English
Published: Oxford University Press 2021
Subjects:
Article
controlled study
data extraction
data visualization
female
gene expression
gene library
human
human cell
information processing
kmerator suite
metadata
nonhuman
RNA
RNA sequencing
simulation
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