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Pairtools: From sequencing data to chromosome contacts.
Abdennur, Nezar; Fudenberg, Geoffrey; Flyamer, Ilya M; Galitsyna, Aleksandra A; Goloborodko, Anton; Imakaev, Maxim; Venev, Sergey V.
Afiliação
  • Abdennur N; Program in Bioinformatics and Integrative Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
  • Fudenberg G; Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts, United States of America.
  • Flyamer IM; Department of Computational and Quantitative Biology, University of Southern California, Los Angeles, California, United States of America.
  • Galitsyna AA; Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
  • Goloborodko A; Institute for Medical Engineering and Sciences, Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts, United States of America.
  • Imakaev M; Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
  • Venev SV; Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria.
PLoS Comput Biol ; 20(5): e1012164, 2024 May.
Article em En | MEDLINE | ID: mdl-38809952
ABSTRACT
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. The core operations provided by pairtools are parsing of.sam alignments into Hi-C pairs, sorting and removal of PCR duplicates. In addition, pairtools provides 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 restriction-based protocols, 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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Cromossomos / Biologia Computacional Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Cromossomos / Biologia Computacional Limite: Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos