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Pairtools: from sequencing data to chromosome contacts.

null nullNezar AbdennurGeoffrey FudenbergIlya M FlyamerAleksandra A GalitsynaAnton GoloborodkoMaxim ImakaevSergey V Venev
Published in: bioRxiv : the preprint server for biology (2023)
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 â€" 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.
Keyphrases
  • data analysis
  • single cell
  • electronic health record
  • big data
  • randomized controlled trial
  • machine learning
  • quality control
  • rna seq
  • gene expression
  • dna methylation
  • blood brain barrier
  • genome wide
  • crystal structure