Articles by tag: python
Hi-C data analysis is still a relatively new field in genomics. The data itself is quite large and expensive to make, which means datasets and exploration of the data is still immature, compared to other technologies like RNA-seq. Here, I discuss aggregate peak analysis, a commonly-used and poorly-documented analytical technique to verify identified features in Hi-C data.
HiGlass is an interactive genome browser that's particularly useful for Hi-C data. Here, I describe how to create your own genome annotation file for HiGlass, allowing you to more easily display your work, regardless of the organism you work in.