bases2fastq
How to run bases2fastq in the computational infrastructure of INAB
1. Log in to the appropriate server:
Note
160.40.71.4 160.40.71.6 …
2. Identify where your NGS results (.bcl files and SampleSheet) are located:
Note
e.g., /mnt/new_home/element/AV240301/20250131_AV240301_SARSDIAGNOSIS
3. Activate conda environment with dependencies for bases2fastq:
conda activate bases2fastq_dependencies4. Create your RunManifest.csv:
Information for preparing the RunManifest file can be found here.
Note
In the Data Section you can add a column named Project containing the name of the respective project for each sample. Project can only contain alphanumeric characters, dashes, and underscores.
5. Move to your working folder:
In case there are only samples from your lab run:
cd /mnt/new_home/stamatopoulos_research/In case there are samples from multiple labs run:
cd /mnt/new_home/illumina_common_fastq6. Upload your RunManifest.csv to your working folder.
Any SFTP program (e.g., Bitvise SSH Client) can be used to transfer RunManifest.csv. Just drag & drop the file from the left to the right window.
7. Define a distinctive name for the folder that will contain the bases2fastq results and use it as input (see Step 8.)
Note
e.g., 2025_05_21_ERIC_study
8. Now you can execute bases2fastq (version 2.1.0.1522407762), based on the following command:
nohup bases2fastq \
--num-threads 16 \
--group-fastq \
--legacy-fastq \
--run-manifest RunManifest.csv \
/mnt/new_home/element/AV240301/20250131_AV240301_SARSDIAGNOSIS/ \
2025_05_21_ERIC_study/ > ./2025_05_21_ERIC_study.log 2>&1 &9. After the command for bases2fastq has run successfully, move your RunManifest.csv to the output folder:
mv RunManifest.csv 2025_05_21_ERIC_study