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Quantifying negative selection in human 3’ UTRs uncovers constrained targets of RNA-binding proteins

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.30.518628Source: DataRank Database

Quantifying negative selection in human 3’ UTRs uncovers constrained targets of RNA-binding proteins is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 11 times.

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Open Access11 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (3 grants)OA: greenTopics (25)IDs (PubMed, OpenAlex)SDGs (1)

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Authors (3)

Lindsay Romo ORCID,Christopher B. Burge ORCID,Scott D. Findlay ORCID

Live enrichment

PubMed:19022398 OpenAlex:https://openalex.org/W4311186838

Natural Sciences and Engineering Research Council of Canada

Grant: unidentified

unidentified

National Institutes of Health

Grant: 5R01GM085319-07

Function of Sequence-Specific Regulators of RNA Splicing

National Institutes of Health

Grant: 2R01HG002439-06

Computational and Experimental Analysis of Vertebrate RNA Splicing

greenLicense: cc-by-nc-nd

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2022/12/01/2022.11.30.518628.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.11.30.518628

repositoryhttps://doi.org/10.1101/2022.11.30.518628

https://doi.org/10.1038/s41467-023-44456-9

Fields of Study

RNA Research and SplicingRNA modifications and cancerRNA and protein synthesis mechanisms0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

PolyadenylationBiologyGeneticsUntranslated regionGeneThree prime untranslated regionComputational biologyCoding regionNegative selectionRNAGenomeMicroRNAsBinding SitesScienceQHumansRNA-Binding Proteins3' Untranslated RegionsArticle

Sustainable Development Goals

SDG 3: 3. Good health