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MetaBolt:一个计算高效的管道,用于快速恢复元基因组组装的基因组

Muhammad Muneeb Nasir¹, Hajra Qayyum², Song Shuhui³

¹Metagenomics Discovery Lab, Department of Sciences, School of Interdisciplinary Engineering & Sciences (SINES), National University of Sciences & Technology (NUST), Srinagar Highway, Sector H-12, Islamabad, Pakistan.

Computational biology and chemistry

|March 14, 2026

概括

MetaBolt是一个新的Nextflow管道,可以从短读数据中快速恢复元基因组组装基因组 (MAG). 它大大减少了计算时间和资源,使得基因组解析的基因组学更容易获得.

科学领域:

基因组学就是基因组学.
生物信息学是一种生物信息学.
计算生物学计算生物学

背景情况:

通过元基因组解析的元基因组学,可以从复杂的环境样本中重建微生物基因组.
目前用于恢复元基因组组装基因组 (MAG) 的方法是计算密集且耗时的.
优化de novo组装步骤对于提高MAG回收效率至关重要.

研究的目的:

引入MetaBolt,一个基于Nextflow的自动化管道,用于从短读元基因组数据中快速恢复MAG.
解决与传统的基因组解析元基因组学工作流程相关的计算瓶.
为该领域的研究人员提供用户友好和高效的解决方案.

主要方法:

开发MetaBolt,一个使用Nextflow进行工作流管理的自动化管道.
在管道内基于MEGAHIT的de novo组装k-mer集的实证优化.
在模拟和现实世界的元基因组数据集上测试和验证MetaBolt,包括低生物质样本.

主要成果:

与 nf-core/mag 和 MetaWRAP 等现有管道相比,MetaBolt 显示了显著减少的计算时间.
管道实现了更快的MAG回收率 (分别为2.3倍和3.8倍),并回收了大约5%的高质量MAG.
对于真正的元基因组样本,特别是那些生物质较低的样本,计算时间减少了2-4%.

结论:

在不牺牲输出质量的情况下,MetaBolt有效地降低了基因组解析的基因组学中的计算障碍.
该管道提供了一种高效和优化的方法,用于从短读数据中恢复MAG.
MetaBolt为更广泛的研究社区提高了对元基因组解析元基因组学的可访问性.

关键词:

生物信息学管道中的一个.计算效率计算效率计算效率在 De-novo 组件组合中.基因组的恢复基因组的恢复基因组解析的元基因组学代基因组组装的基因组是元基因组组装的基因组.

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Genome Annotation and Assembly

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.