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Article summary:
1. Next-generation sequencing (NGS) techniques have facilitated the production of an ever-increasing number of genetic markers across genomes of non-model species, allowing for the study of variation in these markers across natural populations to deepen understanding of how population history and selection act on genomes.
2. Population genomics now provides tools to better integrate selection into a historical framework and take into account selection when reconstructing demographic history, but the burst of analytical tools can confuse users and limit effective information retrieval from complex genomic datasets.
3. To address this need, the article describes possible analytical protocols and links them with more than 70 methods dealing with genome-scale datasets, summarizing their strategies to infer demographic history and selection while discussing some limitations. A website listing these methods is available at www.methodspopgen.com.
Article analysis:
该文章是一篇关于基因组学研究方法的综述，旨在介绍如何对自然种群中的选择和人口动态进行表征。文章指出，随着下一代测序技术的不断改进，越来越多的基因标记被用于研究自然种群中的遗传变异，从而深化了我们对人口历史和选择作用对基因组的影响的理解。然而，由于分析工具过多且缺乏统一的分析流程，这也导致了用户可能会感到困惑，并限制了从复杂基因组数据集中有效获取信息的数量。
该文章没有明显偏见或宣传内容，并提供了一个网站链接以列出相关方法。但是，该文章并未探讨可能存在的风险或局限性，并未平等地呈现双方观点。此外，该文章也没有提供足够证据支持其所提出主张。
总之，虽然该文章提供了有价值的信息和资源链接，但需要更全面、客观、平衡地考虑相关问题，并提供更充分的证据支持其主张。