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FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation
Ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a non-parametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biolog...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136837/ https://www.ncbi.nlm.nih.gov/pubmed/31712779 http://dx.doi.org/10.1038/s41592-019-0624-3 |
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author | Zheng, Ye Keleş, Sündüz |
author_facet | Zheng, Ye Keleş, Sündüz |
author_sort | Zheng, Ye |
collection | PubMed |
description | Ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a non-parametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biological Hi-C data. FreeHi-C boosts the precision and power of differential chromatin interaction detection through data augmentation under preserved false discovery rate control. |
format | Online Article Text |
id | pubmed-8136837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-81368372021-05-20 FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation Zheng, Ye Keleş, Sündüz Nat Methods Article Ability to simulate high-throughput chromatin conformation (Hi-C) data is foundational for benchmarking Hi-C data analysis methods. Here we present a non-parametric strategy named FreeHi-C to simulate Hi-C data from the interacting genome fragments. Data from FreeHi-C exhibit high fidelity to biological Hi-C data. FreeHi-C boosts the precision and power of differential chromatin interaction detection through data augmentation under preserved false discovery rate control. 2019-11-11 2020-01 /pmc/articles/PMC8136837/ /pubmed/31712779 http://dx.doi.org/10.1038/s41592-019-0624-3 Text en http://www.nature.com/authors/editorial_policies/license.html#termsUsers may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Zheng, Ye Keleş, Sündüz FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title | FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title_full | FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title_fullStr | FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title_full_unstemmed | FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title_short | FreeHi-C simulates high fidelity Hi-C data for benchmarking and data augmentation |
title_sort | freehi-c simulates high fidelity hi-c data for benchmarking and data augmentation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8136837/ https://www.ncbi.nlm.nih.gov/pubmed/31712779 http://dx.doi.org/10.1038/s41592-019-0624-3 |
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