Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

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 deduplication con...

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Vydané v:	Genome Biology Ročník 20; číslo 1; s. 65
Hlavní autori:	Srivastava, Avi, Malik, Laraib, Smith, Tom, Sudbery, Ian, Patro, Rob
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London BioMed Central 27.03.2019 Springer Nature B.V BMC
Predmet:	Algorithms Animal Genetics and Genomics Animals Bioinformatics Biomedical and Life Sciences Cellular barcode Datasets DNA Barcoding, Taxonomic Evolutionary Biology Gene expression Gene mapping genes Genomes Genomics Human Genetics Humans Life Sciences Method Mice Microbial Genetics and Genomics nucleotide sequences pipelines Plant Genetics and Genomics Quantification Ribonucleic acid RNA sequence analysis Sequence Analysis, RNA Single-Cell Analysis Single-cell RNA-seq Software Transcription UMI deduplication Cellular barcode UMI deduplication Quantification Single-cell RNA-seq
ISSN:	1474-760X, 1474-7596, 1474-760X
On-line prístup:	Získať plný text
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