TAGADA:一个可扩展的管道,以改善基因组注释与RNA-seq数据
Cyril Kurylo1, Cervin Guyomar1, Sylvain Foissac1
1GenPhySE, Université de Toulouse, INRAE, INPT, ENVT, Toulouse, France.
NAR genomics and bioinformatics
|October 18, 2023
概括
TAGADA是一个新的RNA-seq管道,通过组装,解构和分析转录和基因来改善基因组注释. 这种生物信息学工具可以增强基因模型,计算表达值,并识别长非编码RNA (lncRNAs).
科学领域:
- 生物信息学是一种生物信息学.
- 基因组学就是基因组学.
- 文字转录学 (Transcriptomics) 是一个学科.
背景情况:
- 基因组注释对于编目特定物种的基因和转录至关重要.
- 将新的转录组数据集成到现有的注释中是必不可少的,但对于当前的生物信息学管道来说具有挑战性.
- 现有的管道在利用新的RNA-sequencing (RNA-seq) 数据有效和一致地更新注释方面扎.
研究的目的:
- 介绍TAGADA,一种新的RNA测序 (RNA-seq) 管道,旨在用于转录和基因组装,解卷和分析.
- 用RNA-seq数据增强现有的基因模型并生成改进的基因组注释.
- 为表达式值计算,长非编码RNA (lncRNA) 识别和质量控制提供全面的工具.
主要方法:
- TAGADA处理基因组序列,参考注释,并读取RNA-seq.
- 该管道使用Nextflow DSL2以实现用户友好的功能和容器化以实现可重复性.
- 它将短读数 (Illumina NovaSeq) 与长读数 (PacBio Iso-Seq) 集成在一起,用于多功能分析.
主要成果:
- 在和猪基因组中,TAGADA显著增加了注释转录的数量,约为[FORMULA].
- 管道成功计算了参考和新注释的表达式值.
- TAGADA识别了长非编码转录 (lncRNAs),并提供了详细的质量控制报告.
结论:
- TAGADA提供了一种有效和可重复的解决方案,用于使用RNA-seq数据更新和改进基因组注释.
- 管道集成多种读取类型 (短和长) 的能力提高了它的多功能性.
- 通过提高基因模型的全面性,TAGADA显著推进了比较基因组学和转录基因组学领域.
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