leapR: An R Package for Multiomic Pathway Analysis

Danna, Vincent G.; Mitchell, Hugh D.; Anderson, Lindsey N.; Godinez, Iobani G.; Gosline, Sara JC; Teeguarden, Justin G.; McDermott, Jason E.

doi:10.1021/acs.jproteome.0c00963

DOE OSTI · 1788030

leapR: An R Package for Multiomic Pathway Analysis

Danna, Vincent G.·Mitchell, Hugh D.·Anderson, Lindsey N.·Godinez, Iobani G.·Gosline, Sara JC·Teeguarden, Justin G.·McDermott, Jason E.

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Abstract

A generalized goal of many high-throughput data studies is to identify functional mecha-nisms that underlie observed biological phenomena, whether disease outcomes or metabolic out-put. Increasingly, studies that rely on multiple sources of high-throughput data (genomic, tran-scriptomic, proteomic, metabolomic) are faced with a challenge of utilizing the data in a way that maximizes utility. However, methods for integration of multiple forms of molecular data into a biolog-ically coherent frameworks are needed. Furthermore, we have developed a framework to assess biological pathway activity that relates to phenotypic outcome using multi-source data. Availability and implementation: The leapR package with user manual and example workflow is available for download from GitHub (https://github.com/biodataganache/leapR).

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59 BASIC BIOLOGICAL SCIENCES R package, multi-omics, pathway analysis, systems biology data integration pathway analysis phosphoproteomics proteomics

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BibTeX RIS

Danna, Vincent G., Mitchell, Hugh D., Anderson, Lindsey N., Godinez, Iobani G., Gosline, Sara JC, Teeguarden, Justin G., McDermott, Jason E.. 2021-03-11. leapR: An R Package for Multiomic Pathway Analysis. https://doi.org/10.1021/acs.jproteome.0c00963

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