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Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011286Source: DataRank Database

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0.253. It has been cited 4 times, with 3 citing works in its 1-hop citation network.

N/A

0.253DataRank · unranked

Scored on demand from live citation data

Open Access4 citations · 3 citing works in its network

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 0.37)OA: goldTopics (44)IDs (PubMed, PMC, OpenAlex)Annotations (1)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 95%Citation Network 5%

Base Score Contribution

0.241

From this paper's citation signal

Citation Network Contribution

0.0117

From 1 citing papers with measurable signal

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Top 3 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 3 citers.

Machine and Deep Learning Methods for Predicting 3D Genome Organization
Methods in molecular biology202416 citations206 referencesContributes 0.014
Random Forest-Based Prediction Models for Assessing Cardiovascular Disease Risk: Integrating Clinical and Genetic Factors
Journal of Electrical Systems20240 citations29 referencesContributes 0.000
Single‐nucleotide polymorphisms in coronary artery disease: Biological complexity, risk architecture, and implications for precision prevention
Precision Medical Sciences20260 citations62 referencesContributes 0.000

Authors (9)

Junha Shin ORCID,Jacob Matthew Schreiber ORCID,Shilu Zhang ORCID,Yi Zhang ORCID,Mohith Manjunath ORCID

Live enrichment

PubMed:37428809 PMC:PMC10358954 OpenAlex:https://openalex.org/W4383756593

National Human Genome Research Institute

Grant: 5T32HG002760

National Human Genome Research Institute

Grant: R01-HG010045-01

National Institutes of Health

Grant: BD2K U54 AI117924

National Institutes of Health

Grant: U24-HG009446

National Institutes of Health

Grant: R01-CA163336

James S. McDonnell Foundation

Grant: 3194-133-349500-4-AAB5159

NHGRI NIH HHS

Grant: T32 HG002760

NHGRI NIH HHS

Grant: R01 HG010045

NIAID NIH HHS

Grant: U54 AI117924

NCI NIH HHS

Grant: R01 CA163336

NHGRI NIH HHS

Grant: U24 HG009446

National Institutes of Health

Grant: 5R01CA163336-02

Predicting Transcriptional and Epigenetic Networks in Cancer from Sequencing Data

National Institutes of Health

Grant: 5U54AI117924-05

The Center for Predictive Computational Phenotyping-1 Overall

National Institutes of Health

Grant: 2T32HG002760-21

Institutional Training in the Genomic Sciences

National Institutes of Health

Grant: 5R01HG010045-02

Computational approaches for comparative regulatory genomics to decipher long-range gene regulation

National Institutes of Health

Grant: 5U24HG009446-04

EDAC: ENCODE Data Analysis Center

FWCI

0.37

Citation Percentile

0.5%

Citation Trend

2023

2024

2026

goldLicense: cc-by

journalhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011286&type=printable

publisherhttps://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011286&type=printable

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1011286

journalhttps://doi.org/10.1371/journal.pcbi.1011286

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37428809

Fields of Study

Epigenetics and DNA MethylationBioinformatics and Genomic NetworksGenomics and Chromatin Dynamics0301 basic medicine0303 health sciences03 medical and health sciencesHumansEpigenomeGenome-Wide Association StudyGene Regulatory NetworksGenomeEpigenomicsPolymorphism, Single NucleotideGenetic Predisposition to Disease

MeSH Terms

EpigenomeHumansGenomeGenetic Predisposition to DiseasePolymorphism, Single NucleotideGene Regulatory NetworksGenome-Wide Association StudyEpigenomics

Keywords

Genome-wide association studyGene regulatory networkEpigenomicsComputational biologyBiologyContext (archaeology)Regulatory sequenceGenomicsGeneticsSingle-nucleotide polymorphismExpression quantitative trait lociEpigenomeRegulation of gene expressionGeneGenomeDNA methylationGene expressionHumansGene Regulatory NetworksGenetic Predisposition to DiseasePolymorphism, Single NucleotideResearch Article

Sustainable Development Goals

SDG 0: Life in Land

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co-cited

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co-cited

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Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

FAIR Checklist

DataRank Breakdown

Top 3 citers driving the network score

Authors (9)

Funding (16 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)

Related Papers (2)