Tweet
Hi All,
i have a paired-end bulk RNAseq generated with UMIs in order to reduce duplicates from PCR
Since now, i used my own piepeline with STAR + UMI_tools to deal with the UMIs and generate a "clean duplicates " bam file, but I wnat to know if kallisto is able to deal with this data
I have three fastq's : left and right paired-end FASTQs and one FASTQ for the UMIs.
I used kallisto in pseudobam mode, first generating my batch file
#id umi file1 file2
sample UMI_001.fastq.gz B_L001_R1_001.fastq.gz B_R2_001.fastq.gz
And then running kallisto in this way
kallisto pseudo --index=/home/Genomes/Transcriptome_g1k_v37_kallisto_index -o kallisto_output -b batch.txt --umi -t 20 2>&1 | tee log.txt
However, it seems that Kallisto with umi option is only capable to deal with single-end
Am I right or maybe I forgot anything? Any ideas will be highly aprreciated
Kind Regards
i have a paired-end bulk RNAseq generated with UMIs in order to reduce duplicates from PCR
Since now, i used my own piepeline with STAR + UMI_tools to deal with the UMIs and generate a "clean duplicates " bam file, but I wnat to know if kallisto is able to deal with this data
I have three fastq's : left and right paired-end FASTQs and one FASTQ for the UMIs.
I used kallisto in pseudobam mode, first generating my batch file
#id umi file1 file2
sample UMI_001.fastq.gz B_L001_R1_001.fastq.gz B_R2_001.fastq.gz
And then running kallisto in this way
kallisto pseudo --index=/home/Genomes/Transcriptome_g1k_v37_kallisto_index -o kallisto_output -b batch.txt --umi -t 20 2>&1 | tee log.txt
However, it seems that Kallisto with umi option is only capable to deal with single-end
Am I right or maybe I forgot anything? Any ideas will be highly aprreciated
Kind Regards