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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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.
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RNA-seq03:21

RNA-seq

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RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory Sequences02:02

Cis-regulatory Sequences

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Cis-regulatory sequences are short fragments of non-coding DNA that are present on the same chromosomes as the genes that they regulate. These fragments serve as binding sites for transcriptional regulators, proteins that are responsible for controlling gene transcription and differential gene expression across cell types in eukaryotes. Cis-regulatory sequences can be close to the gene of interest or thousands of bases away in the DNA sequence; however, those sequences that are further away are...
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Ribosome Profiling02:24

Ribosome Profiling

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Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
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Protein Complex Assembly02:41

Protein Complex Assembly

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相关实验视频

Updated: Feb 19, 2026

Novel Sequence Discovery by Subtractive Genomics
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ORFannotate:可复制的编码序列注释转录组组件的编码序列注释.

Sonia García-Ruiz1,2,3, Hannah Macpherson4,3, Laura Caton3,5

  • 1UK Dementia Research Institute, University of Cambridge, Cambridge UK.

Bioinformatics (Oxford, England)
|February 17, 2026
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概括
此摘要是机器生成的。

ORFannotate在转录模型中准确地注释编码序列和翻译特征,改善转录组解释. 该工具将开放阅读框架 (ORF) 预测直接集成到GTF/GFF文件中,以进行增强分析.

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科学领域:

  • 生物信息学是一种生物信息学.
  • 计算生物学 计算生物学
  • 基因组学就是基因组学.

背景情况:

  • 对编码序列 (CDS) 和翻译特征的准确注释对于解释组装的转录组至关重要.
  • 现有的开放阅读框架 (ORF) 预测工具通常无法将CDS信息重新整合到转录模型中,从而限制了它们的实用性,特别是在长读序列化工作流程中.

研究的目的:

  • 开发一种新的,GTF原生工具,用于预测ORF,并将精确的,exon-aware CDS和未翻译区域 (UTR) 功能重新插入到转录注释中.
  • 提供全面的翻译上下文,包括Kozak序列强度,上游ORF (uORF) 和无意义中介衰变 (NMD) 易感性.

主要方法:

  • 一个轻量级的Python命令行工具ORFannotate直接从GTF/GFF文件中的转录注释中预测ORF.
  • 该工具重新插入预测的CDS和UTR特征,注释Kozak序列和uORF等翻译元素,并预测NMD易感性.
  • 注释被整合成成绩单层次的摘要,用于下游分析.

主要成果:

  • ORFannotate成功地预测ORF并注释翻译特征,生成具有准确CDS注释的GTF文件.
  • 该工具促进了长读和短读转录组的可复制分析.
  • ORFannotate与可视化工具,基因组浏览器和比较转录分析工作流程无集成.

结论:

  • ORFannotate为转录组注释提供了一种实用且可扩展的解决方案,超越了简单的编码潜力预测.
  • 该工具通过提供准确的CDS和翻译特征注释来增强组装的转录组的解释.
  • 通过生成全面的GTF注释,ORFannotate支持可复制生物信息学分析和下游应用.