I've successfully defined significant interactions in mouse PLAC-seq data with your excellent MAPS pipeline. Thank you so much for sharing this. I'd now like to use MAPS with PLAC-seq data from 13-lined ground squirrel. I've altered, I think, the code in feather_split_rongxin.py to accommodate the squirrel scaffold names (see below), but I need a features file for the squirrel genome. Do you have code you could share for making a features file for another genome at 5 and 10kb resolution?
Thanks so much!
Elliott
altered feather_split_rongxin.py:
these are the scaffolds that correspond to the mouse X chromosome.
autosomal_chrs = [chr_name for chr_name in chr_list if ((chrname.find('') == -1 and chr_name.find('.') == -1 and chr_name[3].isdigit()) or chr_name == "chrX" or chr_name == "chrY")]
autosomal_chrs = [chr_name for chr_name in chr_list if (chr_name in chrX_scaffold)]
potential_chrs = chr_list ##
autosomal_chrs = [x for x in autosomal_chrs if x in potential_chrs]
chr_list = autosomal_chrs
I've successfully defined significant interactions in mouse PLAC-seq data with your excellent MAPS pipeline. Thank you so much for sharing this. I'd now like to use MAPS with PLAC-seq data from 13-lined ground squirrel. I've altered, I think, the code in feather_split_rongxin.py to accommodate the squirrel scaffold names (see below), but I need a features file for the squirrel genome. Do you have code you could share for making a features file for another genome at 5 and 10kb resolution?
Thanks so much!
Elliott
altered feather_split_rongxin.py:
these are the scaffolds that correspond to the mouse X chromosome.
autosomal_chrs = [chr_name for chr_name in chr_list if ((chrname.find('') == -1 and chr_name.find('.') == -1 and chr_name[3].isdigit()) or chr_name == "chrX" or chr_name == "chrY")]