Open alkurowska opened 2 years ago
This is my data with 10kb:
GenomicInteractions object with 53047 interactions and 3 metadata columns:
seqnames1 ranges1 seqnames2 ranges2 | counts p.value fdr
<Rle> <IRanges> <Rle> <IRanges> | <integer> <numeric> <numeric>
[1] chr10 100340000-100350000 --- chr10 100420000-100430000 | 26 5.44410e-10 2.10322e-05
[2] chr10 100350000-100360000 --- chr10 100430000-100440000 | 23 4.64182e-08 9.62884e-04
[3] chr10 100560000-100570000 --- chr10 100870000-100880000 | 16 1.39535e-10 6.22923e-06
[4] chr10 100670000-100680000 --- chr10 101210000-101220000 | 12 3.32377e-09 1.00389e-04
[5] chr10 100680000-100690000 --- chr10 100790000-100800000 | 26 1.55326e-12 1.17148e-07
... ... ... ... ... ... . ... ... ...
[53043] chrY 10760000-10770000 --- chrY 56720000-56730000 | 6 2.22357e-12 1.64184e-07
[53044] chrY 10780000-10790000 --- chrY 56720000-56730000 | 5 3.88835e-10 1.53275e-05
[53045] chrY 10790000-10800000 --- chrY 26670000-26680000 | 10 7.36211e-20 3.23411e-14
[53046] chrY 11530000-11540000 --- chrY 56720000-56730000 | 11 2.07792e-24 2.31984e-18
[53047] chrY 26670000-26680000 --- chrY 56720000-56730000 | 7 3.52072e-14 4.25279e-09
-------
regions: 41067 ranges and 3 metadata columns
seqinfo: 24 sequences from an unspecified genome; no seqlengths
This is my data with 25 kb:
GenomicInteractions object with 53047 interactions and 3 metadata columns:
seqnames1 ranges1 seqnames2 ranges2 | counts p.value fdr
<Rle> <IRanges> <Rle> <IRanges> | <integer> <numeric> <numeric>
[1] chr10 100332500-100357500 --- chr10 100412500-100437500 | 26 5.44410e-10 2.10322e-05
[2] chr10 100342500-100367500 --- chr10 100422500-100447500 | 23 4.64182e-08 9.62884e-04
[3] chr10 100552500-100577500 --- chr10 100862500-100887500 | 16 1.39535e-10 6.22923e-06
[4] chr10 100662500-100687500 --- chr10 101202500-101227500 | 12 3.32377e-09 1.00389e-04
[5] chr10 100672500-100697500 --- chr10 100782500-100807500 | 26 1.55326e-12 1.17148e-07
... ... ... ... ... ... . ... ... ...
[53043] chrY 10752500-10777500 --- chrY 56712500-56737500 | 6 2.22357e-12 1.64184e-07
[53044] chrY 10772500-10797500 --- chrY 56712500-56737500 | 5 3.88835e-10 1.53275e-05
[53045] chrY 10782500-10807500 --- chrY 26662500-26687500 | 10 7.36211e-20 3.23411e-14
[53046] chrY 11522500-11547500 --- chrY 56712500-56737500 | 11 2.07792e-24 2.31984e-18
[53047] chrY 26662500-26687500 --- chrY 56712500-56737500 | 7 3.52072e-14 4.25279e-09
-------
regions: 41067 ranges and 3 metadata columns
seqinfo: 24 sequences from an unspecified genome; no seqlengths
So whatever overlaps within 10kb, has to overlap within 25 kb. To investiage what is happening I made an annotation of one genes that was found in 10kb, but didnt appear in 25kb. I used the gene and its paired enhancers as annotation features. And both the gene and enhacers as found in both 10 kb and 25kb.
Why does the gene disappear for annotation using full promoter and enhancer lists?
As I understand, the node.class is assigned according to whatever is first to overlap, but all the overlaps should be included in the results
Hi, sorry for the delayed response. How are you extracting the enhancer-promoter pairs? As you noted, the node class is assigned based on your ordering of annotations, so the node class may well be different at different resolutions.
You might find the linkOverlaps
function from the InteractionSet
package helpful - you can use this to find any interactions in a GenomicInteractions object which link a promoter to an enhancer. This can be more flexible as it doesn't have the limitation of assigning a single node.class.
Hello,
I have defined annotation features - promoter and enhancer lists. I used them with Hi-C data trying to find enhancer-promoter pairs. My Hi-C data ranges were 10kb in size. Later I repeated the analysis using same feateures, as well as same Hi-C data, but I have enlarged the Hi-C regions from 10 kb to 25kb. Suprisingly some of the enhancer-promoter pairs that were found in 10 kb ranges were not found in 25 kb ranges, even tho it is exact the same data.
Any idea what could be the problem?