A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data

Area of Science:

• Genomics
• Bioinformatics
• Cancer Research

Background:

• The Cancer Genome Atlas (TCGA) project collects comprehensive genomic data for various cancers.
• Analyzing this extensive data is crucial for understanding tumor development and identifying cancer-causing alterations.
• Advanced computational tools are often complex, limiting accessibility for researchers without specialized bioinformatics expertise.

Purpose of the Study:

• To systematically review and present available web-based tools for accessing and analyzing TCGA data.
• To facilitate the use of TCGA data by both computational and life scientists.
• To enable broader access to cancer genomic profiles for enhanced biological and medical insights.

Main Methods:

• Systematic survey and presentation of web-based computational tools.
• Focus on user-friendliness for scientists with varying computational backgrounds.
• Categorization of tools based on their utility for TCGA data analysis.

Main Results:

• Identification of various web-based tools designed for TCGA data exploration.
• Emphasis on tools that simplify the analysis of complex genomic and biomedical data.
• Demonstration of how these tools can bridge the gap between computational and life sciences.

Conclusions:

• User-friendly web tools are essential for democratizing access to TCGA data.
• Facilitating data analysis empowers a wider range of scientists to contribute to cancer research.
• This survey serves as a guide to leverage TCGA resources effectively for advancing cancer genomics.