Jove
Visualize
联系我们
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

相关概念视频

Genomics02:02

Genomics

39.7K
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...
39.7K
Proteomics01:33

Proteomics

9.4K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
9.4K
RNA-seq03:21

RNA-seq

11.8K
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...
11.8K
Next-generation Sequencing03:00

Next-generation Sequencing

97.9K
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....
97.9K

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

Targeting Cystine Addiction Suppresses Breast Cancer Lung Metastasis.

Cancer research·2026
Same author

The cartography of KRAS inhibitor resistance in colorectal cancer.

Cancer cell·2026
Same author

Viral mimicry redirects immunosuppressed colorectal tumour landscapes towards a proinflammatory and CMS1-like regenerative state.

Communications biology·2026
Same author

Evaluating Menstruation Patterns and Contraceptive Use in Adolescents and Young Adult Women With Sickle Cell Disease.

Journal of pediatric and adolescent gynecology·2026
Same author

Impact of Robotic Assistance and Fixation Type on Revisions, Complications, and Survivorship Following Total Knee Arthroplasty.

JB & JS open access·2026
Same author

Dimensional cophenetic integrity: a method for evaluation of dimensionality reduction in MSI.

Bioinformatics advances·2026

相关实验视频

Updated: Jan 18, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.0K

一种新的方法来实现大型多态数据集成的新方法.

Alex Dexter1, Spencer A Thomas1, Rory T Steven1

  • 1National Physical Laboratory, Teddington TW11 0LW, U.K.

Analytical chemistry
|September 11, 2025
PubMed
概括

我们引入了一种新的深度学习方法,用于整合大型多omics数据集. 这种方法有效地提取特征并融合各种生物数据,克服了以前的计算限制.

更多相关视频

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K

相关实验视频

Last Updated: Jan 18, 2026

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts
08:51

Author Spotlight: Integrated Multi-Omics Analysis for Unveiling Multicellular Immune Signatures in Clinical Heart Attack Cohorts

Published on: September 20, 2024

2.0K
Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.7K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

4.8K

科学领域:

  • 计算生物学 计算生物学
  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学

背景情况:

  • 高维的omics和成像数据给特征提取和数据挖掘带来了挑战.
  • 现有的非线性维度缩小方法,如t-SNE和UMAP在可视化方面表现出色,但在处理非常大的数据集方面却存在困难.
  • 整合多学科数据对于全面理解系统生物学至关重要.

研究的目的:

  • 开发一种新的方法来提取,挖掘和整合大型多omics数据集.
  • 克服当前算法在处理过大数据方面的局限性.

主要方法:

  • 使用了对亚样本非线性维度缩小 (t-SNE和UMAP) 的深度学习.
  • 应用该方法从质谱成像和染色体构造捕获数据中提取特征.
  • 从融合的奥米克数据中展示了学习嵌入,将代谢学投射到减少的转录学表示中.

主要成果:

  • 成功地从以前被认为过大的大型复杂数据集中提取了特征.
  • 通过学习嵌入实现了不同omics数据的融合.
  • 展示了将代谢学数据投射到一个缩小的转录学空间.

结论:

  • 拟议的深度学习方法有效地整合了大数据和多主题数据.
  • 这种方法推进了复杂生物数据集的分析,使系统生物学有了新的见解.
  • 通过融合各种生物信息流来促进更全面的理解.