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High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq
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COSAP: Comparative Sequencing Analysis Platform.

Mehmet Arif Ergun1, Omer Cinal1, Berkant Bakışlı1

  • 1Department of Computer Engineering, Istanbul Technical University, 34469, Istanbul, Turkey.

BMC Bioinformatics
|March 27, 2024
PubMed
Summary

COSAP is a new open-source platform simplifying DNA sequencing analysis with a user-friendly interface. It offers various algorithms for variant calling and annotation, enhancing reproducibility in genomic research.

Keywords:
Copy number variationMicrosatellite instabilityNGS AnalysisVariant annotationVariant classification

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Advancements in sequencing technologies necessitate sophisticated computational tools for genomic data analysis.
  • Existing software solutions are often proprietary, command-line based, or lack comprehensive documentation, hindering accessibility and verification.
  • Discrepancies among popular mapping and variant calling algorithms highlight the need for comparative analysis tools.

Purpose of the Study:

  • To introduce the Comparative Sequencing Analysis Platform (COSAP), an open-source, user-friendly solution for comprehensive DNA sequencing data analysis.
  • To provide a unified platform integrating popular algorithms for various variant detection and annotation tasks.
  • To facilitate reproducible and collaborative genomic research through standardized analysis pipelines.

Main Methods:

  • Development of COSAP as a workflow management system with a web-based graphical user interface (GUI) and a backend server.
  • Integration of popular algorithms for single nucleotide variant (SNV), insertion-deletion (indel), structural variant (SV), copy number variation (CNV), microsatellite instability (MSI), and fusion detection.
  • Packaging of all services as Docker containers for independent deployment and scalability.
  • Implementation of a modular structure enabling pipeline customization and addition of new algorithms with minimal coding.

Main Results:

  • COSAP offers a comprehensive suite of tools for SNV, indel, SV, CNV, MSI, and fusion analysis, along with their annotations.
  • The platform features a fully functional, user-friendly web interface and a backend server, supporting both individual and institutional deployment.
  • COSAP's modular design allows for customized algorithm combinations and the integration of new methods, enhancing analytical flexibility.
  • Publicly available source code and Docker containers facilitate accessibility and independent verification of the platform's components.

Conclusions:

  • COSAP significantly simplifies and accelerates DNA sequencing analysis by providing standardized implementations of commonly used algorithms.
  • The platform's user-friendly interface and independent deployment options cater to diverse user needs and scales.
  • By enabling easier comparison of different analysis pipelines, COSAP is crucial for improving the reproducibility and reliability of genomic research.