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MimicrEE2:全基因组正向模拟进化和重测序研究。

MimicrEE2: Genome-wide forward simulations of Evolve and Resequencing studies.

机构信息

Institut für Populationsgenetik, Vetmeduni Vienna, Veterinärplatz, Wien, Austria.

出版信息

PLoS Comput Biol. 2018 Aug 16;14(8):e1006413. doi: 10.1371/journal.pcbi.1006413. eCollection 2018 Aug.

Abstract

Evolve and Resequencing (E&R) studies allow us to monitor adaptation at the genomic level. By sequencing evolving populations at regular time intervals, E&R studies promise to shed light on some of the major open questions in evolutionary biology such as the repeatability of evolution and the molecular basis of adaptation. However, data interpretation, statistical analysis and the experimental design of E&R studies increasingly require simulations of evolving populations, a task that is difficult to accomplish with existing tools, which may i) be too slow, ii) require substantial reformatting of data, iii) not support an adaptive scenario of interest or iv) not sufficiently capture the biology of the used model organism. Therefore we developed MimicrEE2, a multi-threaded Java program for genome-wide forward simulations of evolving populations. MimicrEE2 enables the convenient usage of available genomic resources, supports biological particulars of model organism frequently used in E&R studies and offers a wide range of different adaptive models (selective sweeps, polygenic adaptation, epistasis). Due to its user-friendly and efficient design MimicrEE2 will facilitate simulations of E&R studies even for small labs with limited bioinformatics expertise or computational resources. Additionally, the scripts provided for executing MimicrEE2 on a computer cluster permit the coverage even of a large parameter space. MimicrEE2 runs on any computer with Java installed. It is distributed under the GPLv3 license at https://sourceforge.net/projects/mimicree2/.

摘要

进化和重测序 (E&R) 研究使我们能够在基因组水平上监测适应。通过定期对进化群体进行测序,E&R 研究有望揭示进化生物学中的一些重大开放性问题,例如进化的可重复性和适应的分子基础。然而,数据解释、统计分析和 E&R 研究的实验设计越来越需要对进化群体进行模拟,这是一个使用现有工具难以完成的任务,这些工具可能存在以下问题:i)速度太慢,ii)需要大量重新格式化数据,iii)不支持感兴趣的适应性情景,或 iv)不能充分捕捉所使用模型生物的生物学特性。因此,我们开发了 MimicrEE2,这是一个用于进化群体全基因组正向模拟的多线程 Java 程序。MimicrEE2 使人们能够方便地使用可用的基因组资源,支持 E&R 研究中常用的模型生物的生物学特性,并提供广泛的不同适应性模型(选择压力、多基因适应、上位性)。由于其用户友好和高效的设计,即使对于生物信息学专业知识或计算资源有限的小型实验室,MimicrEE2 也将有助于 E&R 研究的模拟。此外,提供的用于在计算机集群上执行 MimicrEE2 的脚本甚至可以覆盖很大的参数空间。MimicrEE2 可以在任何安装了 Java 的计算机上运行。它在 https://sourceforge.net/projects/mimicree2/ 下以 GPLv3 许可证分发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/20fe/6112681/a73a06cf2767/pcbi.1006413.g001.jpg

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