Cooltools: Enabling high-resolution Hi-C analysis in Python
University of Massachusetts Chan Medical School · Massachusetts Institute of Technology · +4 more institutions
Abstract
Chromosome conformation capture (3C) technologies reveal the incredible complexity of genome organization. Maps of increasing size, depth, and resolution are now used to probe genome architecture across cell states, types, and organisms. Larger datasets add challenges at each step of computational analysis, from storage and memory constraints to researchers' time; however, analysis tools that meet these increased resource demands have not kept pace. Furthermore, existing tools offer limited support for customizing analysis for specific use cases or new biology. Here we introduce cooltools (https://github.com/open2c/cooltools), a suite of computational tools that enables flexible, scalable, and reproducible…
Citation impact
- FWCI
- 45.73
- Percentile
- 100%
- References
- 65
Authors
11- OOpen2CCorresponding
University of Massachusetts Chan Medical School
- NANezar AbdennurCorresponding
Massachusetts Institute of Technology
- SASameer AbrahamCorresponding
University of Southern California
- GFGeoffrey FudenbergCorresponding
Friedrich Miescher Institute
- IMIlya M. FlyamerCorresponding
Massachusetts Institute of Technology
Topics & keywords
- Python (programming language)
- Computer science
- Workflow
- Visualization
- Suite
- Scalability
- Graphical user interface
- Scripting language