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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2019-03-01
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Series: | Genome Biology |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13059-019-1670-y |