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