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A User-Friendly Visualization Tool for Multi-Omics Data

A User-Friendly Visualization Tool for Multi-Omics Data
Huh, SunghyunKim, Min-Sik
DGIST Authors
Huh, SunghyunKim, Min-Sik
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Author Keywords
Clinical Proteomic Tumor Analysis Consortiumdata visualizationmulti-omics
The Clinical Proteomic Tumor Analysis Consortium (CPTAC) initiative has generated large multi-omic datasets for various cancers. Each dataset consists of common and differential data types, including genomics, epigenomics, transcriptomics, proteomics, and post-translational modifications data. They together make up a rich resource for researchers and clinicians interested in understanding cancer biology to draw from. Nevertheless, the complexity of these multi-omic datasets and a lack of an easily accessible analytical and visualization tool for exploring them continue to be a hurdle for those who are not trained in bioinformatics. In this issue, Calinawan et al. describe a user-friendly, web-based visualization platform named ProTrack for exploring the CPTAC clear cell renal cell carcinoma (ccRCC) dataset. Compared to other available visualization tools, ProTrack offers an easy yet powerful customization interface, solely dedicated to the CPTAC ccRCC dataset. Their tool enables ready inspection of potential associations between different data types within a single gene or across multiple genes without any need to code. Specific mutation types or phosphosites can also be easily looked up for any gene of interest. Calinawan et al. aim to extend their work into other CPTAC datasets, which will greatly contribute to the CPTAC as well as cancer biology community in general. © 2020 Wiley-VCH GmbH
John Wiley & Sons Ltd.
Related Researcher
  • 김민식 Kim, Min-Sik 뉴바이올로지학과
  • Research Interests Cancer Proteogenomics; Biomarker Discovery; Integrative Multi-Omics
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Department of New Biology Laboratory for QBIO and Precision Medicine 1. Journal Articles


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