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Bridging the splicing gap in human genetics with long-read RNA sequencing: finding the protein isoform drivers of disease

Human Molecular Genetics(2022)10.1093/hmg/ddac196Source: DataRank Database

Bridging the splicing gap in human genetics with long-read RNA sequencing: finding the protein isoform drivers of disease is a research paper published in Human Molecular Genetics (2022). On theSindex it has a DataRank of 0.524. It has been cited 32 times.

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0.524DataRank · unranked

Scored on demand from live citation data

Open Access32 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)OA: greenTopics (21)IDs (PubMed)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.524

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (4)

Abdullah Abood ORCID,Charles R. Farber ORCID,Gloria Sheynkman ORCID,Peter J. Castaldi ORCID

Live enrichment

PubMed:35960994

National Institutes of Health

Grant: R01HL124233

National Institutes of Health

Grant: R01HL147326

National Institutes of Health

Grant: 5R01AR077992

National Institutes of Health

Grant: 5R01AR071657

National Institutes of Health

Grant: R01LM014017

National Institutes of Health

Grant: T32LM012416

National Institutes of Health

Grant: 5R01HL147326-03

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National Institutes of Health

Grant: 3R01AR071657-05S1

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National Institutes of Health

Grant: 5R01LM014017-02

Predicting the functional impact of alternative splicing on protein-protein interactions using an integrated approach

National Institutes of Health

Grant: 1R01AR077992-01

Informing Osteoporosis GWAS Using Networks

National Institutes of Health

Grant: 5R01HL124233-02

Using Integrative Genomics To Identify and Characterize Emphysema-Associated eQTL

National Institutes of Health

Grant: 5T32LM012416-05

Transdisciplinary Big Data Science Training at UVa

NCI NIH HHS

Grant: P30 CA044579

NIAMS NIH HHS

Grant: R01 AR071657

NIAMS NIH HHS

Grant: R01 AR077992

greenLicense: OUP Standard Publication Reuse

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9585682

publisherhttps://academic.oup.com/hmg/advance-article-pdf/doi/10.1093/hmg/ddac196/45614686/ddac196.pdf

publisherhttps://academic.oup.com/hmg/article-pdf/31/R1/R123/46578575/ddac196.pdf

https://doi.org/10.1093/hmg/ddac196

https://pubmed.ncbi.nlm.nih.gov/35960994

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciencesHumansHuman GeneticsProtein IsoformsRNA IsoformsRNA, MessengerSequence Analysis, RNA

MeSH Terms

HumansHuman GeneticsProtein IsoformsRNA IsoformsRNA, MessengerSequence Analysis, RNA

Keywords

Sequence Analysis, RNARNA IsoformsHumansProtein IsoformsHuman GeneticsRNA, Messenger

Sustainable Development Goals

SDG 3: 3. Good health