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Pairtools: From sequencing data to chromosome contacts

177
Citations
May 29, 2024
Published Date

Research Abstract & Technology Focus

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.
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Pairtools: From sequencing data to chromosome contacts

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Counting instances of genotype strings where order is irrelevant within locus

To treat Xx and xX as the same we might use a strsplit/sort approach, but on factor levels for sake of efficiency. This assumes diploid, biallelic loci. canonicalize_genotype sapply(paste, ...

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What is the core focus of the research titled 'Pairtools: From sequencing data to chromosome contacts'?

This literature focuses on: 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 processi...

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Yes, highly correlated activity was mapped. An entry titled 'Pairtools: From sequencing data to chromosome contacts' discusses this: The field of 3D genome organization produces large amounts of sequencing data from Hi-C and a rapidly-expanding set of other chromosome conformatio...

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Yes, highly correlated activity was mapped. An entry titled 'Counting instances of genotype strings where order is irrelevant within locus' discusses this: To treat Xx and xX as the same we might use a strsplit/sort approach, but on factor levels for sake of efficiency. This assumes diploid, biallelic ...

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