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>.
Authors
- Giacomo B. Marino (ORCID: https://orcid.org/0009-0005-9727-559X)
- Eden Z. Deng
- Avi Ma’ayan (ORCID: https://orcid.org/0000-0002-6904-1017)
- Daniel Clarke (ORCID: https://orcid.org/0000-0003-3471-7416)
- Adam Resnick (ORCID: https://orcid.org/0000-0003-0436-4189)
- Pei Wang (ORCID: https://orcid.org/0000-0002-6890-6453)
- Weiping Ma (ORCID: https://orcid.org/0000-0003-3786-7460)
- Ido Diamant
Institutions
- Children's Hospital of Philadelphia (US)
- Icahn School of Medicine at Mount Sinai (US)
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
Funders
- National Institutes of Health