hi-c
Here are 104 public repositories matching this topic...
Fast large scale matrix visualization for the web.
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Jul 30, 2021 - JavaScript
Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.
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May 19, 2018 - Jupyter Notebook
Accurate and flexible loops calling tool for 3D genomic data.
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Dec 8, 2020 - Python
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
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Jul 22, 2021 - Python
TAD calling, phase imputation, 3D modeling and more for diploid single-cell Hi-C (Dip-C) and general Hi-C
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Feb 4, 2021 - C
1D/2D indexing and querying on bgzipped text file with a pair of genomic coordinates
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Jun 25, 2021 - C
Genome scaffolding based on HiC data in heterozygous and high ploidy genomes
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May 24, 2021 - Jupyter Notebook
A versatile tool to perform pile-up analysis on Hi-C data in .cool format.
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Jul 7, 2021 - Python
Computer vision based program for pattern recognition in chromosome (Hi-C) contact maps
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Jun 21, 2021 - Python
Lightweight converter between hic and cool contact matrices.
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Sep 4, 2020 - Python
A 3D genome data processing tutorial for ISMB/ECCB 2017
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Jul 21, 2017 - Jupyter Notebook
Clodius is a tool for breaking up large data sets into smaller tiles that can subsequently be displayed using an appropriate viewer.
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Jul 31, 2021 - Python
GENome Organisation Visual Analytics
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Jul 29, 2021 - R
An easy-to-use Hi-C data processing software supporting distributed computation.
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Jul 25, 2021 - Python
Multi-scale Detection of Chromatin Loops from Hi-C and Micro-C Maps using Scale-Space Representation
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Jul 17, 2021 - Python
Software for comparing contact maps from HiC, CaptureC and other 3D genome data.
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May 21, 2018 - Jupyter Notebook
Identify loops from Hi-C data
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Jul 25, 2021 - Python
Large genome reassembly based on Hi-C data, continuation of GRAAL
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May 10, 2021 - Cuda
A Library to Explore Chromatin Interaction Patterns for Topologically Associating Domains
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Oct 1, 2020 - Python
Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification
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Feb 2, 2021 - Python
Builds a docker container wrapping higlass-server and higlass-client in nginx
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Apr 12, 2021 - Shell
Simple library/pipeline to generate and handle Hi-C data.
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Jul 26, 2021 - Python
Dear chesser,
I am using the code in example_analysis.ipynb to learn where the differential regions are. I am not really a python guy and would appreciate if you could help me to solve the following issues:
- the script currently plot (at the end) 3 matrices. The 2 first one are OK to visualize the TAD structures but the scale is often not adapted to loop visualisation. I'd like to replace
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