I'm comparing two RNA samples (RRD - RNA RNA differences).
As Michael Piechotta advised, I've filtered all SNPs on the output of Jacusa2 with bedtools.
Here is an exemple of my output after removing the SNPs but before any other filters :
#contig start end name score strand bases11 bases12 bases21 bases22 info filter ref
chr1 14470 14471 call-2 0.7647364319592498 - 3,0,53,0 2,0,36,0 0,0,31,0 1,0,33,0 * * G
chr1 14484 14485 call-2 0.3625563409707411 - 0,0,63,0 0,0,42,0 1,0,33,0 0,0,41,0 * * G
chr1 14487 14488 call-2 0.30562855413927537 - 63,1,0,0 46,0,0,0 37,0,0,0 44,0,0,0 * D A
chr1 14488 14489 call-2 0.33983885716202167 - 0,0,65,0 0,0,47,0 0,0,39,0 1,0,47,0 * D G
chr1 14490 14491 call-2 1.306677796788108 - 0,0,79,0 3,0,55,0 0,0,47,0 0,0,60,0 * D G
chr1 14491 14492 call-2 0.024052593029637137 - 0,0,82,0 3,0,56,0 1,0,48,0 2,0,65,0 * * G
I'm not sure if I understand correctly. The score assesses the difference between the two conditions ? The higher it is the bigger is the differences between my conditions ?
>head(jacusa.filt)
GRanges object with 6 ranges and 9 metadata columns:
seqnames ranges strand | name score info filter ref bases cov
<Rle> <IRanges> <Rle> | <character> <numeric> <character> <character> <character> <tbl_df> <tbl_df>
[1] chr1 14471 - | call-2 0.7647364 * * G 3: 0:53:...: 2: 0:36:...: 0: 0:31:...: 1: 0:33:... 56:38:31:34
[2] chr1 14492 - | call-2 0.0240526 * * G 0: 0:82:...: 3: 0:56:...: 1: 0:48:...: 2: 0:65:... 82:59:49:67
[3] chr1 14522 - | call-2 0.0243439 * * C 0:47: 0:...: 0:44: 0:...: 0:33: 0:...: 0:50: 0:... 79:70:56:77
[4] chr1 14574 - | call-2 0.7674580 * * T 0:30: 0:...: 0:29: 0:...: 0:27: 0:...: 0:40: 0:... 78:62:60:75
[5] chr1 14604 - | call-2 0.0177258 * * T 0: 1: 0:...: 0: 3: 0:...: 0: 1: 0:...: 0: 3: 0:... 59:39:42:43
[6] chr1 14610 - | call-2 0.1768375 * * A 57: 0: 1:...:39: 0: 2:...:41: 0: 1:...:38: 0: 3:... 58:41:42:41
FALSE. bc
<character> <integer>
[1] 2
[2] 2
[3] 2
[4] 2
[5] 2
[6] 2
What I'd like, is to have a list of sites (positions, strand, score...) differentially edited in my test condition. Could you please guide me ? After all that've done, how do I do that ? A filter on the score ? How can I determine a good threshold ? A filter on the edited bases ? I'm searching for C>T... Does it depend on the strand ? Is there anymore step to do to identify the differentially edited sites ?
I'm a little lost... I'd appreciate any help :)
Thanks !
Best,
Hello,
I'm comparing two RNA samples (RRD - RNA RNA differences).
As Michael Piechotta advised, I've filtered all SNPs on the output of Jacusa2 with bedtools.
Here is an exemple of my output after removing the SNPs but before any other filters :
I'm not sure if I understand correctly. The score assesses the difference between the two conditions ? The higher it is the bigger is the differences between my conditions ?
I've tried to apply some filters :
In R, I obtained this kind of output :
What I'd like, is to have a list of sites (positions, strand, score...) differentially edited in my test condition. Could you please guide me ? After all that've done, how do I do that ? A filter on the score ? How can I determine a good threshold ? A filter on the edited bases ? I'm searching for C>T... Does it depend on the strand ? Is there anymore step to do to identify the differentially edited sites ?
I'm a little lost... I'd appreciate any help :)
Thanks !
Best,