Dear RamRS, Thank you so much for your advice. As you suggested, I used -o . instead of o .
It generated the below messages in my standard error output file:
[quant] fragment length distribution will be estimated from the data
[index] k-mer length: 31
[index] number of targets: 189,154
[index] number of k-mers: 109,813,275
[index] number of equivalence classes: 763,796
[quant] running in paired-end mode
[quant] will process pair 1: /scratch/fs/ye/trimmomatic/SRR6822797-sortmerna-trimmomatic_1.fq.gz
/scratch/fs/ye/trimmomatic/SRR6822797-sortmerna-trimmomatic_2.fq.gz
[quant] finding pseudoalignments for the reads ... done
[quant] processed 12,755,479 reads, 11,205,135 reads pseudoaligned
[quant] estimated average fragment length: 161.419
[ em] quantifying the abundances ... done
[ em] the Expectation-Maximization algorithm ran for 1,258 rounds
[bstrp] number of EM bootstraps complete: 100
[quant] fragment length distribution will be estimated from the data
[index] k-mer length: 31
[index] number of targets: 189,154
[index] number of k-mers: 109,813,275
[index] number of equivalence classes: 763,796
[quant] running in paired-end mode
[quant] will process pair 1: /scratch/fs/ye/trimmomatic/SRR6822798-sortmerna-trimmomatic_1.fq.gz
/scratch/fs/ye/trimmomatic/SRR6822798-sortmerna-trimmomatic_2.fq.gz
[quant] finding pseudoalignments for the reads ... done
[quant] processed 5,362,940 reads, 4,798,586 reads pseudoaligned
[quant] estimated average fragment length: 166.668
[ em] quantifying the abundances ... done
[ em] the Expectation-Maximization algorithm ran for 1,057 rounds
[bstrp] number of EM bootstraps complete: 100
[quant] fragment length distribution will be estimated from the data
[index] k-mer length: 31
[index] number of targets: 189,154
[index] number of k-mers: 109,813,275
[index] number of equivalence classes: 763,796
[quant] running in paired-end mode
[quant] will process pair 1: /scratch/fs/ye/trimmomatic/SRR6822799-sortmerna-trimmomatic_1.fq.gz
/scratch/fs/ye/trimmomatic/SRR6822799-sortmerna-trimmomatic_2.fq.gz
[quant] finding pseudoalignments for the reads ... done
[quant] processed 4,315,257 reads, 3,750,150 reads pseudoaligned
[quant] estimated average fragment length: 164.278
[ em] quantifying the abundances ... done
[ em] the Expectation-Maximization algorithm ran for 1,242 rounds
[bstrp] number of EM bootstraps complete: 100
It also produced abundance.tsv, abundance.h5, and run_info.json files for each of my paired files. But, how can I be sure that all of these files are correct, and how to check if kallisto was performed correctly? as my standard error output is not zero, and it has a size of 15.
Many thanks for your help.