摘要翻译：
在不同进化遗传模型下模拟生物种群时，可以遵循向后或向前的策略。反向模拟，也称为基于合并的模拟，在计算上是非常有效的。然而，这个框架施加了几个前向模拟没有的限制。本文提出了一种新的简单有效的模型来进行种群和/或基因组的正演模拟。基本思想认为个体是该个体与参考或一致基因型之间的差异（突变）。这样，这个个体就不再用它的完整序列或基因型来表示了。一个例子证明了新模型相对于一个更经典的前向模型的有效性。本例使用B_fr.HXB2参考序列模拟HIV耐药性的进化，以研究已知的对齐多夫定和去羟色胺类药物的耐药性突变体的出现
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英文标题：
《Simulating Genomes and Populations in the Mutation Space: An example
  with the evolution of HIV drug resistance》
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作者：
Antonio Carvajal-Rodriguez (Departamento de Bioquimica, Genetica e
  Inmunologia. Universidad de Vigo, Spain)
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最新提交年份：
2007
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分类信息：

一级分类：Quantitative Biology        数量生物学
二级分类：Populations and Evolution        种群与进化
分类描述：Population dynamics, spatio-temporal and epidemiological models, dynamic speciation, co-evolution, biodiversity, foodwebs, aging; molecular evolution and phylogeny; directed evolution; origin of life
种群动力学；时空和流行病学模型；动态物种形成；协同进化；生物多样性；食物网；老龄化；分子进化和系统发育；定向进化；生命起源
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一级分类：Quantitative Biology        数量生物学
二级分类：Genomics        基因组学
分类描述：DNA sequencing and assembly; gene and motif finding; RNA editing and alternative splicing; genomic structure and processes (replication, transcription, methylation, etc); mutational processes.
DNA测序与组装；基因和基序的发现；RNA编辑和选择性剪接；基因组结构和过程（复制、转录、甲基化等）；突变过程。
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一级分类：Quantitative Biology        数量生物学
二级分类：Other Quantitative Biology        其他定量生物学
分类描述：Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要：
  When simulating biological populations under different evolutionary genetic models, backward or forward strategies can be followed. Backward simulations, also called coalescent-based simulations, are computationally very efficient. However, this framework imposes several limitations that forward simulation does not. In this work, a new simple and efficient model to perform forward simulation of populations and/or genomes is proposed. The basic idea considers an individual as the differences (mutations) between this individual and a reference or consensus genotype. Thus, this individual is no longer represented by its complete sequence or genotype. An example of the efficiency of the new model with respect to a more classical forward one is demonstrated. This example models the evolution of HIV resistance using the B_FR.HXB2 reference sequence to study the emergence of known resistance mutants to Zidovudine and Didanosine drugs
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PDF链接：
https://arxiv.org/pdf/0801.0124