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LDexpress: an online tool for integrating population-specific linkage disequilibrium patterns with tissue-specific expression data

BMC Bioinformatics(2021)10.1186/s12859-021-04531-8Source: DataRank Database

LDexpress: an online tool for integrating population-specific linkage disequilibrium patterns with tissue-specific expression data is a research paper published in BMC Bioinformatics (2021). On theSindex it has a DataRank of 0.887. It has been cited 32 times, with 30 citing works in its 1-hop citation network.

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0.887DataRank · unranked

Scored on demand from live citation data

Open Access32 citations · 30 citing works in its network

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Linked data & code

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 3.21)OA: goldTopics (34)Linked Datasets (4)DataCite Reuse (4)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 59%Citation Network 41%

Base Score Contribution

0.524

From this paper's citation signal

Citation Network Contribution

0.363

From 16 citing papers with measurable signal

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Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 30 citers.

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Authors (3)

Rohit Thakur ORCID,Mitchell J. Machiela ORCID,Shu‐Hong Lin ORCID

Live enrichment

PubMed:34930111 OpenAlex:https://openalex.org/W4200453175

FWCI

3.21

Citation Percentile

0.9%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04531-8

publisherhttps://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-021-04531-8

publisherhttps://link.springer.com/content/pdf/10.1186/s12859-021-04531-8.pdf

publisherhttps://link.springer.com/article/10.1186/s12859-021-04531-8/fulltext.html

journalhttps://doi.org/10.1186/s12859-021-04531-8

Fields of Study

Genetic Associations and EpidemiologyBioinformatics and Genomic NetworksEpigenetics and DNA MethylationGenetics, PopulationGenome-Wide Association StudyGenomicsHumansLinkage Disequilibrium

MeSH Terms

Genetics, PopulationHumansLinkage DisequilibriumGenomicsGenome-Wide Association Study

Keywords

Linkage disequilibriumBiologyExpression quantitative trait lociComputational biologyGermlineGenome-wide association studyGeneticsDNA microarrayGenomeGenetic associationPopulationGenetic variationGeneGenotypeGene expressionHaplotypeSingle-nucleotide polymorphismMedicineLDexpressLDlinkQuantitative trait locus

Sustainable Development Goals

SDG 0: Partnerships for the goals

Additional file 2 of Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases

10.6084/m9.figshare.26608836.v1figshare

Additional file 2 of Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases

10.6084/m9.figshare.26608836figshare

Additional file 1 of Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases

10.6084/m9.figshare.26608833.v1figshare

Additional file 1 of Proteomic analysis of 92 circulating proteins and their effects in cardiometabolic diseases

10.6084/m9.figshare.26608833figshare