Abstract
Summary: Eukaryotic genomes are hierarchically organized into topologically associating domains (TADs). The computational identification of these domains and their associated properties critically depends on the choice of suitable parameters of TAD-calling algorithms. To reduce the element of trial-and-error in parameter selection, we have developed TADtool: an interactive plot to find robust TAD-calling parameters with immediate visual feedback. TADtool allows the direct export of TADs called with a chosen set of parameters for two of the most common TAD calling algorithms: directionality and insulation index. It can be used as an intuitive, standalone application or as a Python package for maximum flexibility.
Cite
CITATION STYLE
Kruse, K., Hug, C. B., Hernández-Rodríguez, B., & Vaquerizas, J. M. (2016). TADtool: Visual parameter identification for TAD-calling algorithms. Bioinformatics, 32(20), 3190–3192. https://doi.org/10.1093/bioinformatics/btw368
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