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相关概念视频

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.9K
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.
18.9K
RNA-seq03:21

RNA-seq

10.0K
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...
10.0K
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

6.4K
Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific...
6.4K
Pre-mRNA Processing: RNA Splicing01:36

Pre-mRNA Processing: RNA Splicing

5.3K
5.3K
RNA Splicing01:32

RNA Splicing

56.4K
Splicing is the process by which eukaryotic RNA is edited before its translation into protein. The RNA strand transcribed from eukaryotic DNA is called the primary transcript. The primary transcripts that become mRNAs are called precursor messenger RNAs (pre-mRNAs). Eukaryotic pre-mRNA contains alternating sequences of exons and introns. Exons are nucleotide sequences that code for proteins, whereas introns are the non-coding regions. In RNA splicing, introns are removed and exons are bonded...
56.4K
Alternative RNA Splicing02:18

Alternative RNA Splicing

21.2K
Alternative RNA splicing is the regulated splicing of exons and introns to produce different mature mRNAs from a single pre-mRNA. Unlike in constitutive splicing where a single gene produces a single type of mRNA, alternative splicing allows an organism to produce multiple proteins from a single gene and plays an important role in protein diversity.
There are five types of alternative RNA splicing that vary in the ways the pre-mRNA segments are removed or retained in the mature mRNA. The first...
21.2K

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相关实验视频

Updated: Jul 12, 2025

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies

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合并短读和长读,改进了转录组装.

Amoldeep S Kainth1, Gabriela A Haddad2, Johnathon M Hall1

  • 1Department of Molecular Genetics and Cell Biology, The University of Chicago, Chicago, Illinois, United States of America.

PLoS computational biology
|October 26, 2023
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的混合测序方法,以准确地组装长非编码RNA (lncRNA) 转录. 我们的方法克服了短读和长读测序的局限性,改善了转录末端和异形结构分析.

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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
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3' End Sequencing Library Preparation with A-seq2
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相关实验视频

Last Updated: Jul 12, 2025

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科学领域:

  • 文字转录学 (Transcriptomics) 是一个学科.
  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

  • 短读RNA测序提供了高深度,但与转录终端和细分扎.
  • 长读RNA测序捕获全长异型,但受到低深度和cDNA合成工件的影响.
  • 整合这两个平台是具有挑战性的,因为固有的局限性和欠发达的方法.

研究的目的:

  • 批判性地比较现有的RNA测序组装方法.
  • 开发一种综合方法来表征低丰度长非编码RNA (lncRNA) 转录.
  • 为了提高全长转录组装的准确性和灵敏性.

主要方法:

  • 短读和长读序列组装方法的比较分析.
  • 开发一个计算管道,以"链"长时间读取的cDNA库.
  • 基准测试一种混合组装方法,整合两种测序类型.
  • 适用于具有挑战性的低丰度,注释不足的 lncRNA 数据集.

主要成果:

  • 在短读 (模两可的结尾,细分) 和长读 (低深度,文物) 测序中发现了严重的限制.
  • 开发了一个串流管道来纠正长时间读取的映射和组装错误.
  • 证明混合方法显著提高了全长转录组装的灵敏度和准确性.
  • 成功解决了对精确的5'和3'末端的lncRNA转录组件的细分和深度问题.

结论:

  • 开发的混合工作流有效地克服了单个测序平台的局限性.
  • 这种方法使得转录端的优越划分和精细的异形结构成为可能.
  • 该方法增强了差异基因表达分析和转录的分子操纵.