SRAHunter is a tool designed to facilitate the downloading and processing of data and metadata from the Sequence Read Archive (SRA) of the National Center for Biotechnology Information (NCBI). This package includes two main scripts: a Python script for automatized download of fastq files from SRA (srahunter-download) and a Bash script for SRA associated metadata retrieval (srahunter-metadata).

As part of the conda repository to install srahunter you can simply use this command

I suggest to use mamba to speed-up the installation process

mamba install -c bioconda enriconeko::srahunter

or as an alternative

conda install -c bioconda enriconeko::srahunter

Using an SRA accession list downloaded by the user from SRA as input the tool perform the download of the SRA files and the subsequent conversion to single or paired FASTQ files.

This script has been tested for the main sequencing platforms so can be used to download data produced with Illumina, PACBio and ONT platforms.

srahunter-download --test

• Automatic removal of .sra files after successfull dumping, the user don't need to do it manually
• Check disk space at the beginning of every sample download (at least 20G of disk required). If the disk is almost full the script will stop with an error message
• Remember of the already successfull processed data and, in case of interruption, the script will resume
• Writing of the failed downloads in a file (failed_list.csv)

-h	Show help message and exit
--list , -i	Accession list from SRA (relative or full file path)
-t	Number of threads (default: 6)
--path,-sra-path,-p	Path to where to download .sra files (default: currentdirectory/tmp_srahunter
--maxsize,-ms	Max size of each sra file (default: 50G)
--outdir,-o	Path to where to download .fastq files (default: currentdirectory)

Attention!! For the moment only accession Run numbers are supported (e.g. SRR8487013) and must be included in an accession list

This Bash script handles the retrieval of metadata from the NCBI SRA database, splits large input files into manageable chunks, and organizes the fetched data in a final complete table 'SRA_info.csv' and will produce an interactive table in the folder SRA_html.

srahunter-metadata --test

• Fast data retrieval with Entrez-direct
• Metadata collection in a clean CSV format
• HTML interactive table with links to SRA, a chart summarising the data, and the possibility to apply filters

-h	Show help message and exit
-i	Accession list from SRA (relative or full file path)

If you encounter any issues or errors while using SRAHunter, please check the following common problems:

• Ensure that your Conda or Mamba environment is correctly set up.
• Verify that the format of your SRA accession list is correct.
• Check available disk space if you encounter download issues.

For more help, please open an issue on the GitHub repository.

Contributions to SRAHunter are welcome! Please read our contributing guidelines on the GitHub repository for instructions on how to contribute.

SRAHunter is released under the MIT License.

Special thanks to ....