BED files specify genomic intervals. They are aggregated according to an importance function that determines which values should be visible at lower zoom levels. This importance function is user specified. In the absence of any clear ranking of the different lines in the BED file, a random value can be used in lieu of the importance function.
Example BED file:
chr9 135766734 135820020 TSC1 Biallelic inactivation may predict sensitivity to MTOR inhibitors
chr16 2097895 2138721 TSC2 Biallelic inactivation may predict sensitivity to MTOR inhibitors
chr3 10183318 10195354 VHL May signal the presence of a germline mutation.
chr11 32409321 32457081 WT1 May signal the presence of a germline mutation.
This file can be aggregated like so:
clodius aggregate bedfile \
--assembly hg19 \
short.bed
And then imported into higlass after copying to the docker temp directory (cp short.bed.multires ~/hg-tmp/
):
docker exec higlass-container python \
higlass-server/manage.py ingest_tileset \
--filename /tmp/short.bed.multires \
--filetype beddb \
--datatype bedlike \
--coordSystem b37