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TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify and compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models

License: GNU General Public License v3.0

Python 89.89% C++ 3.26% C 6.73% Batchfile 0.01% Makefile 0.05% GDB 0.01% R 0.05%

tadbit's Introduction

https://github.com/3DGenomes/tadbit/raw/master/doc/source/pictures/TADbit_logo.png

Current version: 0.1_alpha.801 https://travis-ci.org/3DGenomes/TADbit.png?branch=master https://coveralls.io/repos/github/3DGenomes/tadbit/badge.svg?branch=master:target:https://coveralls.io/github/3DGenomes/tadbit?branch=master

TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify adn compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models.

Hi-C experiments generate genomic interaction between loci located in the same or in different chromosomes. TADbit is built around the concept of a chromosome, and uses it as a central item to store and compare different Hi-C experiments. The library has been designed to be used by researchers with no expertise in computer science. All-in-one scripts provided in TADbit allow to run the full analysis using one single command line; advanced users may produce their own programs using TADbit as a complementary library.

Documentation

Citation

Serra, F., Baù, D., Filion, G., & Marti-Renom, M. A. (2016). Structural features of the fly chromatin colors revealed by automatic three-dimensional modeling. bioRxiv. doi:10.1101/036764

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