Open Chan-W00 opened 5 months ago
What a fast... thanks for reply.
So, according to your answer, "chr1 14521 14522 call-2 0.0639599068288419 . 1,0,15,0 0,0,12,0 1,0,13,0 1,0,21,0 G" means that in chromosome number 1 loci 14521-2, condition_1 rep_1 has 1,0,15,0 base conversion from G to A,C,G,T, respectively.
I got it and this is reason why the third position (G) is higher than others.
I really want to caculate total editing number per gene but have no idea about it, yet. Is there any recommandation for me to do this?
Sry, for the late response.
You can use bedtools to add the gene name or some other ID (as new column based on coordinate overlap) to the JACUAS2 output. In R you could then aggregate over the freshly added column,
Dear JACUSA2 team,
I am a truely new to bioinformatics and have been trying to analyze C-to-T base editing that is mediated APOBEC1 enzyme directly conjugated to protein of interest (POI).
My situation is:
java -jar JACUSA_v2.0.4.jar call-2 -r result.out cond.1_rep.1.bam,cond.1_rep.2.bam cond.2_rep.1.bam,cond.2_rep.2.bam -p 4
contig start end name score strand bases11 bases12 bases21 bases22 info filter ref
chr1 14521 14522 call-2 0.0639599068288419 . 1,0,15,0 0,0,12,0 1,0,13,0 1,0,21,0 G chr1 14522 14523 call-2 0.46276221056984923 . 0,16,0,0 0,12,0,0 0,15,0,0 0,21,0,1 C chr1 14541 14542 call-2 0.12227137530251753 . 17,0,2,0 13,0,1,0 11,0,4,0 23,0,1,0 A chr1 14573 14574 call-2 0.20814993206096233 . 24,0,8,0 22,0,1,0 26,0,5,0 25,0,2,0 A
My questions are:
Please.. Give me any answer, otherwise my professor will kill me 😹.