🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

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

Assessing next-generation sequencing-based computational methods for predicting transcriptional regulators with query gene sets

Briefings in Bioinformatics(2024)10.1093/bib/bbae366Source: DataRank Database

Assessing next-generation sequencing-based computational methods for predicting transcriptional regulators with query gene sets is a research paper published in Briefings in Bioinformatics (2024). On theSindex it has a DataRank of 0. It has been cited 8 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access8 citations

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 (21 grants)Impact (FWCI 1.32)OA: goldTopics (35)IDs (PubMed, PMC, 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 (5)

Xue Xiao ORCID,Qiang Zheng ORCID,Xinlei Wang ORCID,Lin Xu ORCID,Zeyu Lu ORCID

Live enrichment

PubMed:39082650 PMC:PMC11289684 OpenAlex:https://openalex.org/W4401200634

Cancer Prevention and Research Institute of Texas

Grant: RP180319

Cancer Prevention and Research Institute of Texas

Grant: RP200103

Cancer Prevention and Research Institute of Texas

Grant: RP220032

Cancer Prevention and Research Institute of Texas

Grant: RP170152

Cancer Prevention and Research Institute of Texas

Grant: RP180805

National Institutes of Health

Grant: R21CA259771

National Institutes of Health

Grant: P30CA142543

National Institutes of Health

Grant: HG011996

National Institutes of Health

Grant: R01HL144969

National Institutes of Health

Grant: R01CA258584

NIGMS NIH HHS

Grant: R15 GM131390

National Institutes of Health

Grant: 5UM1HG011996-03

Multiscale functional characterization of genomic variation in human developmental disorders

National Institutes of Health

Grant: 5R01CA258584-04

Applying deep learning to predict T cell receptor binding specificity of neoantigens and response to checkpoint inhibitors

National Institutes of Health

Grant: 1R21CA259771-01

Identifying neuroblastoma drivers and bringing them to the clinic

National Institutes of Health

Grant: 3P30CA142543-12S1

Multidimensional single-cell approach probing HIV-1 integration association with non-AIDS defining cancers (Biospecimens/Biocohort)

National Institutes of Health

Grant: 5R01HL144969-03

Unraveling ApoE4 Promotion of Cardiometabolic Disease

Children's Cancer Fund

Rally Foundation

Children’s Cancer Fund

Rally Foundation

Children's Cancer Fund

FWCI

1.32

Citation Percentile

0.8%

Citation Trend

2024

2025

2026

goldLicense: cc-by

journalhttps://academic.oup.com/bib/article-pdf/25/5/bbae366/58697378/bbae366.pdf

publisherhttps://academic.oup.com/bib/article-pdf/25/5/bbae366/58697378/bbae366.pdf

journalhttps://doi.org/10.1093/bib/bbae366

repositoryhttps://pubmed.ncbi.nlm.nih.gov/39082650

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/11289684

Fields of Study

Genomics and Chromatin DynamicsRNA and protein synthesis mechanismsGenomics and Phylogenetic Studies0301 basic medicine0303 health sciences03 medical and health sciencesHigh-Throughput Nucleotide SequencingComputational BiologyHumansTranscription FactorsGene Expression Regulation

MeSH Terms

Gene Expression RegulationHumansTranscription FactorsComputational BiologyHigh-Throughput Nucleotide Sequencing

Keywords

Computer scienceBenchmark (surveying)Identification (biology)Key (lock)UsabilityComputational biologyData miningMachine learningBiologyPredictionNext-generation SequencingTranscriptional RegulatorBenchmarkingQuery Gene SetGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansReviewTranscription Factors

Related Papers (8)

Usability Evaluation of an Admission, Discharge, and Transfer Information System: A Heuristic Evaluation

Open Access Macedonian Journal of Medical Sciences(2018)

OpenAlex related

10.3889/oamjms.2018.392

Usability assessment of a mobile app for patients with peripherally inserted central catheters

Revista Latino-Americana de Enfermagem(2022)

OpenAlex related

10.1590/1518-8345.5817.3666

Getting Usability Used

IFIP advances in information and communication technology(1995)

OpenAlex related

10.1007/978-1-5041-2896-4_1

Can we estimate insect identification ease degrees from their identification key paths?

Ecological Informatics(2019)

OpenAlex related

10.1016/j.ecoinf.2019.101010

Diagnosis and identification of key issues of usability for reducing medication errors

Strategic Design Research Journal(2017)

OpenAlex related

10.4013/sdrj.2017.101.08

Development of Usability Assessment Indicator of Adjustable Electric Beds for Home Care

Journal of the Korea Safety Management and Science(2016)

OpenAlex related

10.12812/ksms.2016.18.1.45

Usability evaluation of ambient assisted living systems using a multi-method approach

(2016)

OpenAlex related

10.1145/3019943.3019981

Enhancing the Human-Machine Interface: An Analysis of Unmanned Aerial Systems (UAS) Using the System Usability Scale (SUS)

(2023)

OpenAlex related

10.5753/ihc_estendido.2023.233145