摘要
As biotechnologies improve, coupled with falling costs, more and more genomic data becomes available fostering a renewed interest in understanding recombinational dynamics at unprecedented levels. In this paper, we survey the field for established as well as exploratory methods for handling the challenging task of untangling recombinations in observed data. These include ways to measure the effects of recombinations as well as infer the recombination events (crossover) themselves. We next track the progress made in model (or phylogeny) based approaches as they have the potential for ushering in the recombinome, the set of all the crossover points along the chromosome in a given organism.
摘要译文
随着生物技术的改进，加上成本的降低，越来越多的基因组数据变得可以在前所未有的层面上促成对理解重组动力学的重新兴趣。在本文中，我们调查了建立和探索性解决方案的领域，观察数据中的重组这些包括测量重组效应以及推断重组事件（交叉）本身的方法。我们接下来跟踪基于模型（或系统发育）方法的进展，因为它们具有启动重组的潜力，在给定生物体中沿着染色体的所有交叉点的集合
Asif Javed[1];Laxmi Parida[1]. Recombinomics: population genomics from a recombination perspective[C]//C3S2E '10:Proceedings of the Third C* Conference on Computer Science and Software Engineering, Montreal, QC, Canada , May 19 - 20, 2010, CA: ACM, 2010: 129-137