May 6, 2024PLoS Computational BiologyOpen Access

Cooltools: Enabling high-resolution Hi-C analysis in Python

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Authors

NANezar AbdennurUMass Memorial Health Care SASameer AbrahamMassachusetts Institute of Technology GFGeoffrey FudenbergUniversity of Southern California

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Implication

Methodological framework demonstrates scalable processing of high-resolution contact frequency data across cellular genomes, highlighting improved handling of large folding datasets.

Key Points

Scalable contact frequency analysis resolves high-resolution genome organization, and cooltools accommodates massive datasets across cell states without computational failure.
Analysis using paired command line and Python application programming interfaces streamlines workflows, leveraging the cooler format for efficient storage and memory access.
Supports customizable investigations into complex genome folding architectures, enabling reproducible high-resolution chromatin analysis across diverse organisms and cell types.

Cite This Study

Abdennur et al. (2024) studied this question.

synapsesocial.com/papers/68e6b4ceb6db643587635f6c https://doi.org/10.1371/journal.pcbi.1012067

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Implication

Methodological framework demonstrates scalable processing of high-resolution contact frequency data across cellular genomes, highlighting improved handling of large folding datasets.

Cooltools: Enabling high-resolution Hi-C analysis in Python

Discussion

Member takes

Implication

Key Points

Cite This Study

Cooltools: Enabling high-resolution Hi-C analysis in Python

Discussion

Member takes

Implication

Key Points

Cite This Study

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