Sherlock-Genome: an R Shiny application for genomic analysis and visualization

The source code and installation instructions for Sherlock-Genome can be accessed via Github https://github.com/xtmgah/Sherlock-Genome . Documentation and data requirements for user project data can also be found on the same GitHub page.

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Publication Details

Journal
BMC Genomics
Published
2025-01-16
DOI
https://doi.org/10.1186/s12864-024-11147-8
Citations
3
Primary Topic
Gene expression and cancer classification
Type
article
Field-Weighted Citation Impact
2.42
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article

Sherlock-Genome: an R Shiny application for genomic analysis and visualization

Alyssa Klein, Tongwu Zhang, Jun Zhong, Maria Teresa Landi
3 citations
BMC Genomics
Gene expression and cancer classification
2.42
article

Sherlock-Genome: an R Shiny application for genomic analysis and visualization

Alyssa Klein, Tongwu Zhang, Jun Zhong, Maria Teresa Landi
article en
3 citations

Abstract

The source code and installation instructions for Sherlock-Genome can be accessed via Github https://github.com/xtmgah/Sherlock-Genome . Documentation and data requirements for user project data can also be found on the same GitHub page.

BMC GenomicsVol. 26(1)
National Cancer Institute (US), Division of Cancer Epidemiology and Genetics
Openalex Percentile: Top 13%
Gene expression and cancer classification
2.42
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