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SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3’ tag-based RNA-seq of single cells

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.17.435782Source: DataRank Database

SCAPTURE: a deep learning-embedded pipeline that captures polyadenylation information from 3’ tag-based RNA-seq of single cells is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0. It has been cited 3 times.

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Open Access3 citations

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Enrichment:Funding (2 grants)OA: greenTopics (18)IDs (PubMed, OpenAlex)

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Open Access

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Authors (5)

Nan Fang ORCID,Guo-Hua Yuan ORCID,Bin Tian ORCID,Li Yang ORCID,Guo‐Wei Li ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W3137959104

National Institutes of Health

Grant: 3R01GM084089-12S2

Regulation of Alternatiive Cleavage and Polyadenylation

National Institutes of Health

Grant: 5R01GM129069-04

Regulation and Functions of 3'UTRs in Cellular Stress

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2021/03/19/2021.03.17.435782.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2021.03.17.435782

repositoryhttps://doi.org/10.1101/2021.03.17.435782

https://dx.doi.org/10.1101/2021.03.17.435782

Fields of Study

Single-cell and spatial transcriptomicsRNA Research and SplicingImmune cells in cancer0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

PolyadenylationPipeline (software)RNA-SeqComputational biologyComputer scienceRNAArtificial intelligenceGeneBiologyTranscriptomeGene expressionGenetics