CCRR: a user-friendly platform for analyzing complex chromosomal rearrangements in tumors

Area of Science:

• Genomics
• Cancer Biology
• Bioinformatics

Background:

• Complex chromosomal rearrangements (CCRs) are significant genomic alterations in tumors, impacting gene function and cancer development.
• Accurate identification of CCRs is vital for cancer research but hindered by complex data and limited analytical tools.

Purpose of the Study:

• To develop a comprehensive, reproducible, and user-friendly platform for analyzing CCRs in tumors.
• To streamline the identification of structural variations (SVs) and copy number variations (CNVs) associated with cancer.

Main Methods:

• Developed the Complex Chromosomal Rearrangements Resolver (CCRR) platform.
• Integrated multiple SV and CNV detection tools within a Docker container for simplified installation and deployment.
• Automated the execution and merging of results to generate high-confidence consensus calls.

Main Results:

• CCRR provides a robust solution for analyzing complex chromosomal rearrangements in tumors.
• The platform enables efficient identification of SVs and CNVs without requiring extensive bioinformatics expertise.
• Offers a web server for one-click analysis and customized visualization of genomic data.

Conclusions:

• CCRR significantly advances the ability of researchers to study complex genomic alterations in cancer.
• The platform democratizes the analysis of complex chromosomal rearrangements, facilitating broader cancer research.
• CCRR improves the efficiency and accuracy of identifying key genomic events in tumor development.