Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

Abstract We introduce alevin, a fast end-to-end pipeline to process droplet-based single-cell RNA sequencing data, performing cell barcode detection, read mapping, unique molecular identifier (UMI) deduplication, gene count estimation, and cell barcode whitelisting. Alevin’s approach to UMI deduplic...

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Bibliographic Details
Main Authors: Avi Srivastava, Laraib Malik, Tom Smith, Ian Sudbery, Rob Patro
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Genome Biology
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13059-019-1670-y