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Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer

STAR Protocols(2022)10.1016/j.xpro.2022.101273Source: DataRank Database

Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer is a research paper published in STAR Protocols (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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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:Funding (5 grants)Impact (FWCI 0.14)OA: goldTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (2)SDGs (2)

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 (4)

Ajay Chatrath ORCID,Aakrosh Ratan ORCID,Anindya Dutta ORCID,Divya Sahu

Live enrichment

PubMed:35403010 PMC:PMC8987392 OpenAlex:https://openalex.org/W4223638238

National Institutes of Health

Grant: R01 CA060499

University of Alabama at Birmingham

Grant: T32 GM007267

NCI NIH HHS

Grant: R25 CA206972

National Institutes of Health

Grant: 5T32GM007267-44

Medical Scientist Training Program

National Institutes of Health

Grant: 5R01CA060499-08

DNA REPLICATION

FWCI

0.14

Citation Percentile

0.4%

Citation Trend

2024

goldLicense: cc-by

journalhttps://www.sciencedirect.com/science/article/pii/S2666166722001538/pdf

publisherhttps://www.sciencedirect.com/science/article/pii/S2666166722001538/pdf

publisherhttps://api.elsevier.com/content/article/PII:S2666166722001538?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166722001538?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.xpro.2022.101273

Fields of Study

Ferroptosis and cancer prognosisRNA modifications and cancerMicroRNA in disease regulation0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

Exome SequencingGliomaHumansComputational BiologyExome

Keywords

GermlineExome sequencingComputational biologyExomeGenomicsPipeline (software)BiologyGenomeGeneticsOncologyMedicineGeneComputer scienceMutationCancerSequencingBioinformaticssystems biologyRnaseqScience (General)GliomaQ1-390ProtocolHumans

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Integrated bioinformatic pipeline using whole-exome and RNAseq data to identify germline variants correlated with cancer

FAIR Checklist

Authors (4)

Funding (5 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)