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The impact of package selection and versioning on single-cell RNA-seq analysis

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.04.04.588111Source: DataRank Database

The impact of package selection and versioning on single-cell RNA-seq analysis is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2024). On theSindex it has a DataRank of 0. It has been cited 35 times.

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Open Access35 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (4 grants)OA: greenTopics (29)IDs (PubMed, OpenAlex)

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Authors (11)

Lambda Moses ORCID,Pétur Helgi Einarsson ORCID,Kayla Jackson ORCID,Laura Luebbert ORCID,A. Sina Booeshaghi ORCID

Live enrichment

PubMed:38617255 OpenAlex:https://openalex.org/W4393992405

National Institutes of Health

Grant: 5UM1HG012077-02

Center for Mouse Genomic Variation at Single Cell Resolution

National Institutes of Health

Grant: 5T32GM008042-27

Medical Scientist Training Program

NIGMS NIH HHS

Grant: T32 GM008042

NHGRI NIH HHS

Grant: UM1 HG012077

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2024/04/05/2024.04.04.588111.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2024.04.04.588111

repositoryhttps://doi.org/10.1101/2024.04.04.588111

repositoryhttps://pubmed.ncbi.nlm.nih.gov/38617255

Fields of Study

Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsGene expression and cancer classification0206 medical engineering02 engineering and technology

Keywords

Consistency (knowledge bases)WorkflowComputer scienceSoftwareRNA-SeqBenchmarkingCluster analysisTransparency (behavior)Data miningPopulationRaw dataDimensionality reductionGeneDatabaseBiologyGene expressionArtificial intelligenceGeneticsProgramming languageArticleScanpySeuratopen source softwaresingle-cell RNA-seq