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Published on: October 8, 2017
新出现的基因搜索在带有DENSE的真核细胞中
Paul Roginski1, Anna Grandchamp2, Chloé Quignot1
1Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, 91198 Gif-sur-Yvette, France.
Genome biology and evolution
|August 30, 2024
概括
我们开发了DENSE,这是一个自动化管道,用于从非编码DNA中识别新出现的基因. 该工具有助于理解基因进化,并为研究新基因起源的研究人员提供灵活的框架.
科学领域:
- 基因组学就是基因组学.
- 进化生物学 进化生物学
- 生物信息学是一种生物信息学.
背景情况:
- 源自非编码DNA的新兴基因挑战了传统的进化模型.
- 了解它们的功能作用和对基因组进化的贡献至关重要.
- 目前用于识别新基因的现有方法缺乏完全的自动化.
研究的目的:
- 引入DENSE (DE Novo新兴基因搜索),一个自动化的Nextflow管道用于新基因识别.
- 为研究人员提供灵活和用户友好的工具.
- 促进对新型基因起源和基因组进化的研究.
主要方法:
- DENSE采用了两步的方法:用于检测分类学上受限基因 (TRG) 的分类学分类学,以及用于过TRG的基因组比较/合成性搜索.
- 管道可以作为命令行工具,第二步可以通过Web服务器访问.
- 丹斯为适应性提供可定制的策略和参数.
主要成果:
- DENSE应用于七种模型生物,揭示了不同策略和参数对新基因预测的影响.
- 分析提供了数据集定义,最佳检测条件的识别和基因组注释中的偏差控制的指标.
- 编制了一个对模型生物的新出现的基因预测数据库.
结论:
- 丹斯为新的基因鉴定提供了强大的,自动化的解决方案,解决了当前生物信息学工具中的关键缺口.
- 管道的灵活性和跨多种生物体的全面分析提高了新基因研究的可靠性和可比性.
- 生成的数据库作为未来研究新基因出现和进化的宝贵参考.
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