Closed wbszhu closed 3 years ago
hi, one option is to load a csv or tsv that has chrom,start,end,name columns with pd.read_csv. you can see more about bioframe.chromarms here: https://bioframe.readthedocs.io/en/latest/_modules/bioframe/extras.html#make_chromarms
also, just a heads up that some of the code used in contacts_vs_distance code is being streamlined, which should hopefully be a smoother experience as a user
we should add a note to contacts_vs_distance notebook (and perhaps other notebooks) for what to do with non-standard genomes https://github.com/open2c/cooltools/issues/275
Thanks. very useful.
Hi, If I do want to use my own one instead of a bioframe to fetch the genomic features from the UCSC. What should I do? For this part:
Thanks.