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Designing and implementing programmable depletion in sequencing libraries with DASHit

Authors :
Rene Sit
Aaron McGeever
Michelle Tan
David Dynerman
Amy Lyden
Charles Langelier
Cirolia G
Alen Faiz
Joseph L. DeRisi
S. Christenson
Boris Dimitrov
Ryan King
Saharai Caldera
van den Berge M
Emily D. Crawford
Jenai Quan
Kerstjens Ham
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

Since Next-Generation Sequencing produces reads uniformly subsampled from an input library, highly abundant sequences may mask interesting low abundance sequences. The DASH (Depleting Abundant Sequences by Hybridization) technique takes advantage of the programmability of CRISPR/Cas9 to deplete unwanted high-abundance sequences. Because desired depletion targets vary by sample type, here we describe DASHit, software that outputs an optimal DASH target set given a sequencing dataset, an updated DASH protocol, and show depletion results with DASHit-designed targets for three different species.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....30b9d24af0eba9dff26ab1564640e847
Full Text :
https://doi.org/10.1101/2020.01.12.891176