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Related Concept Videos

Proteomics01:33

Proteomics

9.1K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Genomics02:02

Genomics

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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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An Integrated Approach for Microprotein Identification and Sequence Analysis
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ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies.

Anna Pamela Calinawan1, Xiaoyu Song2,3, Jiayi Ji2,3

  • 1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.

Proteomics
|June 9, 2020
PubMed
Summary
This summary is machine-generated.

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) developed ProTrack, a web tool for exploring proteogenomic cancer data. This application provides intuitive access to CPTAC

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Area of Science:

  • Proteogenomics
  • Cancer Research
  • Bioinformatics

Background:

  • The Clinical Proteomic Tumor Analysis Consortium (CPTAC) has generated extensive multi-omics data.
  • Accessing and analyzing complex proteogenomic data presents challenges for researchers.

Purpose of the Study:

  • To develop a user-friendly web application for querying and exploring CPTAC data.
  • To provide intuitive access to proteogenomic data and analysis results for biological and medical researchers.

Main Methods:

  • Developed a prototype web application named "ProTrack".
  • Integrated CPTAC clear cell renal cell carcinoma (ccRCC) data.
  • Designed for dynamic, comprehensive, and granular data visualization.

Main Results:

  • ProTrack offers an intuitive interface for data exploration.
  • The application visualizes rich proteogenomic data effectively.
  • Facilitates downloading of data and analysis results.

Conclusions:

  • ProTrack enhances accessibility to CPTAC proteogenomic data.
  • The tool supports broader community engagement in cancer research.
  • Enables deeper understanding of cancer through integrated multi-omics data.