srahunter

srahunter simplifies data and metadata acquisition from the NCBI Sequence Read Archive (SRA) by automating downloading, data management, and metadata integration using SRA Toolkit and Entrez Direct.


Key Features:

  • Automated downloading: Enables automated retrieval of sequencing data from SRA using SRA Toolkit and Entrez Direct.
  • Smart data management: Provides automated organization and handling of downloaded SRA datasets.
  • Metadata integration: Integrates metadata through an interactive HTML table for efficient data access.

Scientific Applications:

  • Genomics research: Accelerates the development of genomics studies by streamlining access to high-throughput sequencing data from SRA.
  • Multi-omics research: Supports multiple 'omics research domains by facilitating efficient retrieval and management of large-scale sequencing datasets from INSDC.

Methodology:

srahunter is developed with Python and leverages the core functionalities of SRA Toolkit and Entrez Direct.

Topics

Details

Programming Languages:
Python
Added:
1/14/2026
Last Updated:
1/14/2026

Operations

Publications