Protocol for using Multiomics2Targets to identify targets and driver kinases for cancer cohorts profiled with multi-omics assays

The availability of multi-omics data applied to profile cancer cohorts is rapidly increasing. Here, we present a protocol for Multiomics2Targets, a computational pipeline that can identify driver cell signaling pathways, protein kinases, and cell-surface targets for immunotherapy. We describe steps for preparing the data, uploading files, and tuning parameters. We then detail procedures for running the workflow, visualizing the results, and exporting and sharing reports containing the analysis. For complete details on the use and execution of this protocol, please refer to Deng et al.<sup>1</sup>.

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Publication Details

Journal
STAR Protocols
Published
2024-11-19
DOI
https://doi.org/10.1016/j.xpro.2024.103457
Primary Topic
Bioinformatics and Genomic Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Protocol for using Multiomics2Targets to identify targets and driver kinases for cancer cohorts profiled with multi-omics assays

Giacomo B. Marino, Eden Z. Deng, Avi Ma’ayan, Daniel Clarke et al.
STAR Protocols
Bioinformatics and Genomic Networks
article

Protocol for using Multiomics2Targets to identify targets and driver kinases for cancer cohorts profiled with multi-omics assays

Giacomo B. Marino, Eden Z. Deng, Avi Ma’ayan, Daniel Clarke, Adam Resnick, Pei Wang, Weiping Ma, Ido Diamant
article en

Abstract

The availability of multi-omics data applied to profile cancer cohorts is rapidly increasing. Here, we present a protocol for Multiomics2Targets, a computational pipeline that can identify driver cell signaling pathways, protein kinases, and cell-surface targets for immunotherapy. We describe steps for preparing the data, uploading files, and tuning parameters. We then detail procedures for running the workflow, visualizing the results, and exporting and sharing reports containing the analysis. For complete details on the use and execution of this protocol, please refer to Deng et al.<sup>1</sup>.

STAR ProtocolsVol. 5(4)
Children's Hospital of Philadelphia (US), Icahn School of Medicine at Mount Sinai (US)
National Institutes of Health
Openalex Percentile: Top 81%
Bioinformatics and Genomic Networks
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