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Sierra: discovery of differential transcript usage from polyA-captured single-cell RNA-seq data
High-throughput single-cell RNA-seq (scRNA-seq) is a powerful tool for studying gene expression in single cells. Most current scRNA-seq bioinformatics tools focus on analysing overall expression levels, largely ignoring alternative mRNA isoform expression. We present a computational pipeline, Sierra...
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| Udgivet i: | Genome Biol |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2020
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7341584/ https://ncbi.nlm.nih.gov/pubmed/32641141 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13059-020-02071-7 |
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