Ribocode does not correctly handle the hdf5 file it creates to store temperary data, resulting in identical results for multiple runs that are ran from the same folder.
For example, running this script resulted in all identical ORF libraries for each of the datasets.
while IFS= read -r folder; do
echo "$folder"
mkdir "$folder/GRCh38_110/ribocode/"
RiboCode_onestep -g "$assembly/Homo_sapiens.GRCh38.110.gtf" \
-f "$assembly/Homo_sapiens.GRCh38.dna.primary_assembly.fa" \
-r "${folder}/GRCh38_110/aligned_tran.bam" \
-l no \
-o "${folder}/GRCh38_110/ribocode/ribo" \
-f0_percent 0.5
done < "$1"
I solved this by removing the hdf5 file created after each run
while IFS= read -r folder; do
echo "$folder"
mkdir "$folder/GRCh38_110/ribocode/"
rm aligned_tran_psites.hd5 <-- remove file
RiboCode_onestep -g "$assembly/Homo_sapiens.GRCh38.110.gtf" \
-f "$assembly/Homo_sapiens.GRCh38.dna.primary_assembly.fa" \
-r "${folder}/GRCh38_110/aligned_tran.bam" \
-l no \
-o "${folder}/GRCh38_110/ribocode/ribo" \
-f0_percent 0.5
done < "$1"
Ribocode does not correctly handle the hdf5 file it creates to store temperary data, resulting in identical results for multiple runs that are ran from the same folder.
For example, running this script resulted in all identical ORF libraries for each of the datasets.
I solved this by removing the hdf5 file created after each run