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Pairtools: from sequencing data to chromosome contacts
The field of 3D genome organization produces large amounts of sequencing data from Hi-C and a rapidly-expanding set of other chromosome conformation protocols (3C+). Massive and heterogeneous 3C+ data require high-performance and flexible processing of sequenced reads into contact pairs. To meet the...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949071/ https://www.ncbi.nlm.nih.gov/pubmed/36824968 http://dx.doi.org/10.1101/2023.02.13.528389 |
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author | Abdennur, Nezar Fudenberg, Geoffrey Flyamer, Ilya M. Galitsyna, Aleksandra A. Goloborodko, Anton Imakaev, Maxim Venev, Sergey V. |
author_facet | Abdennur, Nezar Fudenberg, Geoffrey Flyamer, Ilya M. Galitsyna, Aleksandra A. Goloborodko, Anton Imakaev, Maxim Venev, Sergey V. |
collection | PubMed |
description | The field of 3D genome organization produces large amounts of sequencing data from Hi-C and a rapidly-expanding set of other chromosome conformation protocols (3C+). Massive and heterogeneous 3C+ data require high-performance and flexible processing of sequenced reads into contact pairs. To meet these challenges, we present pairtools – a flexible suite of tools for contact extraction from sequencing data. Pairtools provides modular command-line interface (CLI) tools that can be flexibly chained into data processing pipelines. Pairtools provides both crucial core tools as well as auxiliary tools for building feature-rich 3C+ pipelines, including contact pair manipulation, filtration, and quality control. Benchmarking pairtools against popular 3C+ data pipelines shows advantages of pairtools for high-performance and flexible 3C+ analysis. Finally, pairtools provides protocol-specific tools for multi-way contacts, haplotype-resolved contacts, and single-cell Hi-C. The combination of CLI tools and tight integration with Python data analysis libraries makes pairtools a versatile foundation for a broad range of 3C+ pipelines. |
format | Online Article Text |
id | pubmed-9949071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-99490712023-02-24 Pairtools: from sequencing data to chromosome contacts Abdennur, Nezar Fudenberg, Geoffrey Flyamer, Ilya M. Galitsyna, Aleksandra A. Goloborodko, Anton Imakaev, Maxim Venev, Sergey V. bioRxiv Article The field of 3D genome organization produces large amounts of sequencing data from Hi-C and a rapidly-expanding set of other chromosome conformation protocols (3C+). Massive and heterogeneous 3C+ data require high-performance and flexible processing of sequenced reads into contact pairs. To meet these challenges, we present pairtools – a flexible suite of tools for contact extraction from sequencing data. Pairtools provides modular command-line interface (CLI) tools that can be flexibly chained into data processing pipelines. Pairtools provides both crucial core tools as well as auxiliary tools for building feature-rich 3C+ pipelines, including contact pair manipulation, filtration, and quality control. Benchmarking pairtools against popular 3C+ data pipelines shows advantages of pairtools for high-performance and flexible 3C+ analysis. Finally, pairtools provides protocol-specific tools for multi-way contacts, haplotype-resolved contacts, and single-cell Hi-C. The combination of CLI tools and tight integration with Python data analysis libraries makes pairtools a versatile foundation for a broad range of 3C+ pipelines. Cold Spring Harbor Laboratory 2023-02-15 /pmc/articles/PMC9949071/ /pubmed/36824968 http://dx.doi.org/10.1101/2023.02.13.528389 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Abdennur, Nezar Fudenberg, Geoffrey Flyamer, Ilya M. Galitsyna, Aleksandra A. Goloborodko, Anton Imakaev, Maxim Venev, Sergey V. Pairtools: from sequencing data to chromosome contacts |
title | Pairtools: from sequencing data to chromosome contacts |
title_full | Pairtools: from sequencing data to chromosome contacts |
title_fullStr | Pairtools: from sequencing data to chromosome contacts |
title_full_unstemmed | Pairtools: from sequencing data to chromosome contacts |
title_short | Pairtools: from sequencing data to chromosome contacts |
title_sort | pairtools: from sequencing data to chromosome contacts |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949071/ https://www.ncbi.nlm.nih.gov/pubmed/36824968 http://dx.doi.org/10.1101/2023.02.13.528389 |
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