TriTrypDB: An integrated functional genomics resource for kinetoplastida.

Area of Science:

• Bioinformatics
• Parasitology
• Genomics

Background:

• Kinetoplastid parasites cause significant public health burdens in tropical and subtropical regions.
• TriTrypDB is a key component of the VEuPathDB Bioinformatics Resource Center, providing access to kinetoplastid data.

Purpose of the Study:

• To present TriTrypDB as a comprehensive resource for mining genomic and functional data of kinetoplastid parasites.
• To highlight the integration of diverse datasets and user-friendly tools for in silico research.

Main Methods:

• Hosting 83 curated kinetoplastid genomes, including manual curation for key species.
• Integrating transcriptomic, proteomic, epigenomic, and population-level data.
• Providing a web interface with genome browser, search strategies, and bioinformatics tools, including a Galaxy workspace for private data analysis.

Main Results:

• TriTrypDB release 59 includes manually curated genomes and diverse integrated data types.
• A new annotation platform (Apollo) allows for immediate community annotations and official integration.
• User-friendly tools facilitate custom in silico experiments and private data analysis.

Conclusions:

• TriTrypDB serves as an essential, integrated resource for kinetoplastid parasite research.
• The platform empowers researchers with tools for data mining, analysis, and collaborative annotation.
• Continued development enhances its utility for understanding and combating parasitic diseases.