Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Improving prediction of bacterial sRNA regulatory targets with expression data

NAR Genomics and Bioinformatics(2025)10.1093/nargab/lqaf055Source: DataRank Database

Improving prediction of bacterial sRNA regulatory targets with expression data is a research paper published in NAR Genomics and Bioinformatics (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access0 citations

Download PDF

Cite:

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.00)OA: goldTopics (40)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Haiqi Wang ORCID,Brian Tjaden ORCID,Yildiz Derinkok

Live enrichment

PubMed:40342837 OpenAlex:https://openalex.org/W4410190524

National Institutes of Health

Grant: GM102755

National Institutes of Health

Grant: 2R15GM102755-02A1

System and Methods for Analysis of Bacterial Transcriptomes

NIGMS NIH HHS

Grant: R15 GM102755

FWCI

0.00

Citation Percentile

0.1%

goldLicense: cc-by

journalhttps://academic.oup.com/nargab/article-pdf/7/2/lqaf055/63122431/lqaf055.pdf

publisherhttps://academic.oup.com/nargab/article-pdf/7/2/lqaf055/63122431/lqaf055.pdf

journalhttps://doi.org/10.1093/nargab/lqaf055

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40342837

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12060007

Fields of Study

Genomics and Phylogenetic StudiesRNA and protein synthesis mechanismsBacterial Genetics and Biotechnology0206 medical engineering02 engineering and technologyEscherichia coliRNA, BacterialRNA, Small UntranslatedGene Expression Regulation, BacterialSalmonellaMachine LearningComputational Biology

MeSH Terms

Machine LearningEscherichia coliRNA, BacterialSalmonellaGene Expression Regulation, BacterialComputational BiologyRNA, Small Untranslated

Keywords

Transfer RNAComputational biologyComputer scienceComputational modelExpression (computer science)RNARNA-SeqData miningGeneGene expressionBiologyMachine learningArtificial intelligenceGeneticsTranscriptomeRNA, BacterialSalmonellaComputational Methods for Transcriptome AnalysisEscherichia coliRNA, Small UntranslatedGene Expression Regulation, Bacterial