在全基因组测序元基因组学数据上对HiSeq3000和BGISEQ-500测序平台进行比较分析
Animesh Kumar1, Espen M Robertsen1, Nils P Willassen1
1Center for Bioinformatics, Department of Chemistry, UiT The Arctic University of Norway, Tromsø, 9037, Norway.
Genomics & informatics
|January 15, 2024
概括
通过比较HiSeq3000和BGISEQ-500测序平台的 shotgun metagenomics,发现了类似的性能. 这两个平台都有效地生成高质量的数据用于分类学分类和环境样本中的基因组组合.
科学领域:
- 环境元基因组学环境元基因组学
- 下一代测序技术的新一代技术
- 生物信息学是一种生物信息学.
背景情况:
- 甲基因组学使得直接从环境样本中研究微生物群落成为可能.
- 像HiSeq3000和BGISEQ-500这样的测序平台的进步为生成大规模的元基因组数据提供了新的可能性.
- 对比研究对于理解特定平台的偏见和优化数据分析管道至关重要.
研究的目的:
- 为了比较HiSeq3000和BGISEQ-500平台的性能,用于猎枪元基因组测序.
- 评估不同生物信息学工具和数据库对数据分析的影响.
- 为在元基因组学研究中选择适当的测序平台和分析策略提供指导.
主要方法:
- 使用HiSeq3000和BGISEQ-500.00对12个挪威海岸沉积物样本进行了炮弹元基因组测序.
- 数据规范化,预处理和质量控制.
- 使用多个分类学分类器 (Kaiju,Kraken2),参考数据库 (MAR,RefSeq) 和汇编器 (MEGAHIT,metaSPAdes) 的评估.
主要成果:
- 在预处理后,BGISEQ-500保留了更多的读数和基数计数;HiSeq3000显示了略高的分类率.
- 在这两种平台上,Kaiju在阅读分类方面都超过了Kraken2.
- 马尔数据库在分类学分类方面表现优于RefSeq.
- 一般来说,MEGAHIT的组装统计数据比metaSPAdes更好,尤其是在标准化数据的情况下.
结论:
- 无论是HiSeq3000还是BGISEQ-500平台,都显示出在猎枪元基因组学方面具有相似的实用性.
- 生物信息管道的选择,包括分类器,数据库和汇编器,显著影响结果.
- 这种比较分析有助于研究人员为各种元基因组学研究选择最佳的测序和分析策略.
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