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Updated: Aug 6, 2025

Detecting Somatic Genetic Alterations in Tumor Specimens by Exon Capture and Massively Parallel Sequencing
Published on: October 18, 2013
CACSV: a computational web-sever that provides classification for cancer somatic genetic variants from different
Nahla AlKurabi1, Ahad AlGahtani1, Turki M Sobahy2
1Information Systems Department, King Abdulaziz University (KAU), 7393, Jeddah, Kingdom of Saudi Arabia.
This study presents CACSV, a web server classifying millions of cancer genetic variants. It enhances accessibility to clinically relevant genetic information for researchers and clinicians.
Area of Science:
- Genomics
- Bioinformatics
- Cancer Research
Background:
- Understanding genetic variants is crucial for human disease analysis, especially in cancer.
- Cancer tissues exhibit diverse genetic profiles, yet few variants have clear clinical utility, making identification challenging.
- A 2017 protocol standardized cancer somatic genetic variant classification, but accessibility remained limited.
Purpose of the Study:
- To develop a user-friendly computational web server for accessing and interpreting clinically relevant cancer genetic variants.
- To increase the availability and accessibility of a comprehensive database of cancer genetic variants.
Main Methods:
- Incorporated the 2017 reference protocol into a computational method.
- Developed a web server with a graphical user interface.
- Created a shareable database on GitHub.
Main Results:
- Generated clinical classifications for approximately 3 million cancer genetic variants.
- Established a publicly available, shareable database of these variants.
- Enhanced database accessibility and usability through a graphical interface.
Conclusions:
- CACSV offers an open-source resource for millions of cancer tissue-specific genetic variants.
- Provides essential clinical annotations for these variants.
- Facilitates easier access to critical genetic variant data for cancer research.
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