Jove
Visualize
联系我们

相关概念视频

Improving Translational Accuracy02:07

Improving Translational Accuracy

15.3K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
15.3K
Improving Translational Accuracy02:07

Improving Translational Accuracy

3.7K
3.7K
RNA-seq03:21

RNA-seq

12.3K
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...
12.3K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.9K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.9K
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

7.4K
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...
7.4K
Next-generation Sequencing03:00

Next-generation Sequencing

99.6K
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.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
99.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Alpha Therapy Beyond TOC and TATE-Production, Quality Control, and In-Human Results for the SSTR2 Antagonist DOTA-LM3.

Pharmaceuticals (Basel, Switzerland)·2026
Same author

A combinatorial transcription factor screening platform for immune cell reprogramming.

Cell systems·2026
Same author

Preclinical evaluation of DOTAGA.Glu.(FAPI)<sub>2</sub> and DO3A.Glu.(FAPI)<sub>2</sub> as theranostics with human dosimetry extrapolation to lutetium-177 and terbium-161 analogs.

European journal of nuclear medicine and molecular imaging·2025
Same author

Efficacy and Safety of [<sup>177</sup>Lu]Lu-DOTAGA.Glu.(FAPi)<sub>2</sub> Therapy in Patients with Sarcoma.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2025
Same author

Precise mapping of single-stranded DNA breaks by sequence-templated erroneous DNA polymerase end-labelling.

Nature communications·2025
Same author

cONcat: Computational reconstruction of concatenated fragments from long Oxford Nanopore reads.

PloS one·2025
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Mar 2, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

3.9K

多语境种子可以实现快速,高精度的读取映射.

Ivan Tolstoganov1, Marcel Martin2, Nicolas Buchin1

  • 1Department of Mathematics, Science for Life Laboratory, Stockholm University, 10691, Stockholm, Sweden.

Genome biology
|March 1, 2026
PubMed
概括

多语境种子 (MCS) 平衡种子长度,以实现更快,更灵敏的序列相似性搜索. 这种方法可以提高像strobealign这样的工具的准确性,而不会增加运行时间或内存使用量.

关键词:
这就是Illumina Illumina.卡梅尔斯 (K-mers) 是一个字体.阅读映射可以读取映射.种子 种子 种子斯特罗贝默斯 (Strobemers) 是一个类型

更多相关视频

Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

38.1K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

10.1K

相关实验视频

Last Updated: Mar 2, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

3.9K
Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

38.1K
A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

10.1K

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
  • 基因组数据分析 基因组数据分析

背景情况:

  • 序列相似性搜索对于分析生物序列至关重要.
  • 在种子长度,搜索速度和可变区域的灵敏度之间存在权衡.
  • 现有的方法很难有效地平衡速度和灵敏度.

研究的目的:

  • 引入一种新的播种策略,多语境种子 (MCS),以改进序列相似性搜索.
  • 为了解决种子长度,搜索速度和灵敏度之间的固有权衡.
  • 通过整合MCS,提高序列对齐工具的性能.

主要方法:

  • 开发了一种新的数据结构,可以在单个索引中存储不同长度的种子.
  • 在 strobealign 软件中实现了多背景种子 (MCS).
  • 评估了与MCS结合的 strobealign 与其以前版本的性能.

主要成果:

  • 在相同的索引结构中,MCS允许存储不同长度的种子.
  • 与MCS进行向对比显示了准确度的显著改善.
  • 增强的 strobealign 保持了可比的运行时间,没有额外的内存开销.

结论:

  • 多语境种子 (MCS) 有效地结合了短种子和长种子的优势.
  • MCS代表了序列相似性搜索方法的重大进步.
  • 在 strobealign 实现验证了 MCS 的实际实用性和效率.