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Related Concept Videos

Lagging Strand Synthesis

Lagging Strand Synthesis

During replication, the complementary strands in double-stranded DNA are synthesized at different rates. Replication first begins on the leading strand. Replication starts later, occurs more slowly, and proceeds discontinuously on the lagging strand.
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Lagging Strand Synthesis

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Related Experiment Video

Updated: Jan 19, 2026

Leading Strand and Lagging Strand Synthesis

Leading Strand and Lagging Strand Synthesis

breakpointR: an R/Bioconductor package to localize strand state changes in Strand-seq data.

David Porubsky^1,2, Ashley D Sanders^3,4, Aaron Taudt^1,5

¹European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.

Bioinformatics (Oxford, England)

|September 11, 2019

Summary

A new R package, breakpointR, analyzes single-cell Strand sequencing data to detect DNA changes. This tool aids in mapping sister chromatid exchanges and inversions, improving accessibility to Strand sequencing applications.

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Published on: June 24, 2021

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Last Updated: Jan 19, 2026

Leading Strand and Lagging Strand Synthesis

Leading Strand and Lagging Strand Synthesis

Double-strand Breaks DSB & Nonhomologous End Joining NHEJ

Double-strand Breaks DSB & Nonhomologous End Joining NHEJ

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Identification of Alternative Splicing and Polyadenylation in RNA-seq Data

Published on: June 24, 2021

Area of Science:

Genomics and Bioinformatics
Molecular Biology
Computational Biology

Background:

Strand sequencing (Strand-seq) is a specialized single-cell DNA sequencing method that captures strand-specific information.
Existing computational tools require enhancement to fully leverage the directional data inherent in Strand-seq.
Accurate analysis of Strand-seq data is crucial for understanding DNA dynamics at a single-cell level.

Purpose of the Study:

To introduce breakpointR, a novel R/Bioconductor package for processing and interpreting single-cell Strand-seq data.
To enable the detection of local changes in DNA strand directionality within aligned Strand-seq data.
To facilitate fine-mapping of genomic events such as sister chromatid exchanges and germline inversions.

Main Methods:

Development of breakpointR, an R/Bioconductor package.
Implementation of algorithms to detect local changes in strand directionality from aligned Strand-seq data.
Application of the package for fine-mapping sister chromatid exchanges and germline inversions.

Main Results:

breakpointR successfully processes and interprets single-cell Strand-seq data.
The package enables precise detection of DNA strand directionality changes.
breakpointR supports fine-mapping of sister chromatid exchanges, germline inversions, and global haplotype assembly.

Conclusions:

breakpointR is a valuable computational tool for analyzing single-cell Strand-seq data.
The package enhances the ability to study DNA recombination and structural variations.
breakpointR extends the accessibility and application scope of Strand-seq technology.