CABGen
CABGen is a web application designed to address the challenges posed by the large volumes of genomic data generated through Next-Generation Sequencing (NGS) technologies. With a particular focus on combating global antimicrobial resistance (AMR), CABGen offers a user-friendly and comprehensive platform for the analysis and interpretation of genome data.
Key features of CABGen:
1. Data Management: CABGen provides tools for storing, organizing, and managing bioinformatics data efficiently.
2. Scalability: The application can handle data from bacterial isolates of different species and origins, making it versatile for various research needs.
3. Functional Analysis: CABGen offers functionalities for tasks like estimating coverage, identifying species, and conducting antimicrobial resistance analysis.
4. User-Friendly Environment: CABGen is designed to be accessible and easy to use, making it suitable for a broad range of researchers.
5. Three Modules: The application comprises three main modules: "Upload Sequences," "Analyze Sequences," and "Verify Results," each serving specific purposes.
6. Open-Source: CABGen is developed using open-source software, promoting transparency and accessibility.
CABGen aims to facilitate the analysis of genomic data, particularly in the context of antimicrobial resistance research.
Topic
Sequencing;Workflows;Bioinformatics;Sequence assembly;Genetic variation
Detail
Operation: Multilocus sequence typing;Genome assembly;Variant calling;De-novo assembly
Software interface: Web user interface
Language: Perl
License: Not stated
Cost: Free of charge (with restrictions)
Version name: -
Credit: CNPq FAPERJ, FIOCRUZ, CAPES, UERJ, UFF.
Input: -
Output: -
Contact: Ana Paula D’Alincourt Carvalho-Assef anapdca@ioc.fiocruz.br
Collection: -
Maturity: -
Publications
- CABGen: A Web Application for the Bioinformatic Analysis of Bacterial Genomes.
- Duré FM, et al. CABGen: A Web Application for the Bioinformatic Analysis of Bacterial Genomes. CABGen: A Web Application for the Bioinformatic Analysis of Bacterial Genomes. 2022; 13:893474. doi: 10.3389/fmicb.2022.893474
- https://doi.org/10.3389/FMICB.2022.893474
- PMID: 35711759
- PMC: PMC9196194
Download and documentation
Home page: https://aureus.procc.fiocruz.br/index.html
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