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相关概念视频

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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lncRNA - Long Non-coding RNAs02:39

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No description available
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lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

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In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
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Ribosome Profiling02:24

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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
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The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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相关实验视频

Updated: Feb 16, 2026

Amplicon Sequencing using the Long-Read Sequencing Technologies
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Amplicon Sequencing using the Long-Read Sequencing Technologies

Published on: August 29, 2025

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在长读序列的时代的转录学.

Carolina Monzó1, Tianyuan Liu2, Ana Conesa3

  • 1Institute for Integrative Systems Biology, Spanish National Research Council, Paterna, Valencia, Spain. carolina.monzo@csic.es.

Nature reviews. Genetics
|March 29, 2025
PubMed
概括
此摘要是机器生成的。

长读RNA测序为基因表达分析提供了强大的,公正的方法,克服了短读限制,以发现全长的转录. 本综述详细介绍了长期阅读的RNA测序工作流程,方法和未来前景.

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Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

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相关实验视频

Last Updated: Feb 16, 2026

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Ultra-long Read Sequencing for Whole Genomic DNA Analysis
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科学领域:

  • 基因组学就是基因组学.
  • 分子生物学分子生物学
  • 生物信息学是一种生物信息学.

背景情况:

  • RNA测序 (RNA-seq) 彻底改变了基因表达分析,使得新型异构体和拼接事件的发现成为可能.
  • 短读序列,虽然先进,但在解决全长转录和复杂的异构形式方面存在困难.
  • 长读测序技术已经成熟,为RNA-seq.提供了新的功能.

研究的目的:

  • 为长期阅读的RNA测序工作流提供全面的概述.
  • 通过长时间读取RNA序列的实验和分析方法指导研究人员.
  • 讨论当前的挑战和该领域的未来前景.

主要方法:

  • 图书馆准备和测序挑战的概述 特定于长时间读取的RNA-seq.
  • 详细检查核心数据处理和下游分析技术.
  • 长读RNA序列的实验和分析方法的库存.

主要成果:

  • 长读RNA-seq使得基因表达的无偏见检测和量化成为可能.
  • 它克服了短读序列的局限性,在解决全长转录和复杂的异构形式方面取得了成功.
  • 基准评估研究正在出现,突出了优势和局限性.

结论:

  • 长读RNA测序是一种成熟的技术,具有转录组学研究的巨大潜力.
  • 需要全面的资源来促进长期阅读的RNA-seq.的采用和理解.
  • 在仪器仪表和分析方法的进一步发展将提高其应用.