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Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification

Bioinformatics(2025)10.1093/bioinformatics/btaf240Source: DataRank Database

Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0. It has been cited 22 times.

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Open Access22 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (14 grants)Impact (FWCI 10.71)OA: goldTopics (40)IDs (PubMed, PMC, OpenAlex)Annotations (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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Authors (3)

Noor Singh ORCID,Rob Patro ORCID,Zahra Zare Jousheghani ORCID

Live enrichment

PubMed:40662837 PMC:PMC12261437 OpenAlex:https://openalex.org/W4412454190

National Institutes of Health

Grant: R01 HG009937

National Science Foundation

Grant: CCF-1750472

National Science Foundation

Grant: CNS-1763680

National Science Foundation

Grant: 252586

National Science Foundation

Grant: 2024342821

National Science Foundation

Grant: 1750472

CAREER: A Comprehensive and Lightweight Framework for Transcriptome Analysis

National Institutes of Health

Grant: 5R01HG009937-02

A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data

National Science Foundation

Grant: 1763680

CSR: Medium: Approximate Membership Query Data Structures in Computational Biology and Storage

Silicon Valley Community Foundation

Chan Zuckerberg Initiative DAF

Chan Zuckerberg Initiative Foundation

Chan Zuckerberg Initiative DAF

Silicon Valley Community Foundation

Chan Zuckerberg Initiative Foundation

FWCI

10.71

Citation Percentile

1.0%

Citation Trend

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bioinformatics/article-pdf/41/Supplement_1/i304/63745713/btaf240.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/Supplement_1/i304/63745713/btaf240.pdf

journalhttps://doi.org/10.1093/bioinformatics/btaf240

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40662837

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12261437

Fields of Study

Single-cell and spatial transcriptomicsGenomics and Phylogenetic StudiesGene expression and cancer classification0206 medical engineering02 engineering and technologySoftwareGene Expression ProfilingTranscriptomeModels, StatisticalHigh-Throughput Nucleotide SequencingAnimalsAlgorithmsSequence Analysis, RNA

MeSH Terms

AlgorithmsAnimalsSoftwareModels, StatisticalSequence Analysis, RNAGene Expression ProfilingHigh-Throughput Nucleotide SequencingTranscriptome

Keywords

Computer scienceSource codeIdentification (biology)Probabilistic logicSoftwareMIT LicenseFocus (optics)Data miningArtificial intelligenceProgramming languageBiologyGenome Sequence AnalysisModels, StatisticalSequence Analysis, RNAGene Expression ProfilingHigh-Throughput Nucleotide SequencingAnimalsTranscriptomeAlgorithms

Oarfish: enhanced probabilistic modeling leads to improved accuracy in long read transcriptome quantification

FAIR Checklist

Authors (3)

Funding (14 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)