Training in High-Throughput Sequencing: Common Guidelines to Enable Material Sharing, Dissemination, and Reusability

Area of Science:

• Bioinformatics
• Genomics
• Computational Biology

Background:

• High-throughput sequencing (HTS) technologies have rapidly advanced, increasing demand for skilled data analysts.
• Developing and updating HTS training materials is challenging for educators.
• A centralized repository for HTS training resources is needed to support educators and reduce duplicated efforts.

Purpose of the Study:

• To establish a strategy for curating and disseminating HTS training materials.
• To create a community-driven platform for sharing and reusing HTS educational content.

Main Methods:

• Developed standards for describing training materials.
• Curated existing HTS training materials based on proposed standards.
• Established a decentralized, community-managed Git repository for sharing annotated materials.

Main Results:

• A repository of curated HTS training materials is now available.
• The repository facilitates the reuse, modification, and incorporation of materials into new courses.
• The decentralized nature allows for community contributions and ongoing development.

Conclusions:

• The developed repository addresses the need for accessible and up-to-date HTS training resources.
• This initiative supports the HTS trainers' community by enabling knowledge sharing and reducing redundant work.
• The Git-based platform promotes collaborative development and broad accessibility of bioinformatics training materials.