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Related Experiment Video

Updated: Sep 13, 2025

Recombineering Homologous Recombination Constructs in Drosophila

Recombineering Homologous Recombination Constructs in Drosophila

Published on: July 13, 2013

Hi-reComb: constructing recombination maps from bulk gamete Hi-C sequencing.

Milan Malinsky^1,2, Marion Talbi^1,2, Chenxi Zhou³

¹Institute of Ecology and Evolution, University of Bern, Bern 3012, Switzerland.

|July 31, 2025

Summary

This summary is machine-generated.

Estimating recombination rates is challenging. Hi-reComb is a new method using chromosome conformation capture sequencing (Hi-C) to accurately map recombination landscapes in genetics and evolutionary biology.

Keywords:

Hi-C cichlids gametes genetics recombination map software sperm stickleback

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Published on: November 20, 2018

Area of Science:

Genetics
Evolutionary Biology
Genomics

Background:

Recombination is crucial for genetic diversity and evolution in sexually reproducing species.
Accurate estimation of recombination rates and their chromosomal variation remains a significant challenge.

Purpose of the Study:

To introduce Hi-reComb, a novel method and software for estimating recombination maps.
To improve the accuracy and robustness of recombination rate estimation.

Main Methods:

Utilized bulk gamete chromosome conformation capture sequencing (Hi-C) data.
Developed a new computational method, Hi-reComb, for recombination map estimation.
Validated the method through simulations and empirical data from five fish species.

Main Results:

Hi-reComb demonstrated robust and accurate estimation of recombination landscapes.
The approach allows for joint assessment of recombination maps and large structural variants.
Enabled map comparisons via bootstrap and facilitated trio phasing versus Hi-C phasing workflows.

Conclusions:

Hi-reComb offers a straightforward and rapid workflow for routine recombination landscape estimation.
The method is applicable to a broad range of studies and model organisms.
Facilitates advancements in genetics and evolutionary biology research.