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

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.8K
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.
18.8K
Next-generation Sequencing03:00

Next-generation Sequencing

88.6K
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....
88.6K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K

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

Deciphering immune and cellular reprogramming during the progression from inflammatory bowel disease to colorectal cancer using multi-omics single-cell and spatial transcriptomics.

Journal of translational medicine·2026
Same author

Combination Immunotherapy as a Promising Strategy to Overcome Immunotherapy Resistance: From Emergence to Next-Generation Approaches.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

A megastudy of behavioral interventions to catalyze public, political, and financial climate advocacy.

PNAS nexus·2026
Same author

scSNViz: visualization and analysis of cell-specific expressed SNVs.

Bioinformatics (Oxford, England)·2026
Same author

Unearthing soil biodiversity through collaborative genomic research and education.

Nature genetics·2025
Same author

When vaccines reset tumors: SARS-CoV-2 mRNA shots create a transient checkpoint-sensitive state.

Signal transduction and targeted therapy·2025
Same journal

K-attention: a biologically informed attention operator for data-efficient sequence-based omics modeling.

Briefings in bioinformatics·2026
Same journal

Accurate prediction of asparagine deamidation in biologics using advanced machine learning models.

Briefings in bioinformatics·2026
Same journal

scImmuneCo: a compendium of cell-type-specific functional modules for decoding immune responses from single-cell RNA-seq data.

Briefings in bioinformatics·2026
Same journal

scGenoByte: a GenoByte embedding transformer with biological priors for cell type annotation.

Briefings in bioinformatics·2026
Same journal

FerroScore: a statistical approach for quantifying tumor-related ferroptosis based on omics data.

Briefings in bioinformatics·2026
Same journal

METEOR: a data-adaptive Mendelian randomization method for powerful detection of shared and specific exposures underlying multiple outcomes.

Briefings in bioinformatics·2026
查看所有相关文章

相关实验视频

Updated: Jun 19, 2025

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

25.5K

在谷歌云平台上使用全基因组二硫酸盐测序数据分析学习模块.

Yujia Qin1, Angela Maggio2, Dale Hawkins3

  • 1Department of Quantitative Health Sciences, John A. Burns School of Medicine, University of Hawaii at Manoa, 651 Ilalo Street, Honolulu, HI 96813, United States.

Briefings in bioinformatics
|July 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了使用云计算进行全基因组二硫酸盐测序 (WGBS) 数据分析的交互式学习模块. 它提高了对表观基因组研究工具的可访问性,并加速了该领域的进步.

关键词:
通过DNA甲基化.谷歌云平台是谷歌的云平台.这是WGBS的WGBS.生物信息学教育的教育.云计算是云计算中的一个.表观遗传学是指表观遗传学.

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

37.1K
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

11.8K

相关实验视频

Last Updated: Jun 19, 2025

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution
13:47

Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution

Published on: February 24, 2015

25.5K
Targeted DNA Methylation Analysis by Next-generation Sequencing
08:38

Targeted DNA Methylation Analysis by Next-generation Sequencing

Published on: February 24, 2015

37.1K
Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

11.8K

科学领域:

  • 表观遗传学和基因组学
  • 生物信息学和计算生物学
  • 教育技术的教育技术

背景情况:

  • 全基因组双硫酸盐测序 (WGBS) 对于理解DNA甲基化模式和表观遗传调节至关重要.
  • 分析大型WGBS数据集需要大量的计算资源和专业知识.
  • 云计算为复杂的基因组数据分析提供可扩展的解决方案.

研究的目的:

  • 开发一个交互式学习模块,用于全基因组二硫酸盐测序 (WGBS) 数据分析.
  • 为了促进基于云的工具的使用,特别是谷歌云平台上的WGBS数据.
  • 提高云计算在表观遗传学研究中的可访问性和采用性.

主要方法:

  • 开发一个资源模块,集成到NIGMS沙盒中,用于基于云的学习平台.
  • 使用基于云的工具,如谷歌云存储,Vertex AI笔记本和谷歌批量.
  • 为WGBS数据预处理和差异甲基化分析提供逐步教程.

主要成果:

  • 该模块为WGBS数据分析提供交互式学习,涵盖预处理和差异甲基化识别.
  • 展示了使用云基础设施处理大型数据集的简化工作流程.
  • 该模块将WGBS分析与云资源利用相结合,加深了用户的理解.

结论:

  • 开发的模块增强了用于表观基因组研究的云计算的可访问性.
  • 它旨在通过简化WGBS数据分析来加速表观遗传学的进步.
  • 该学习模块支持批量和单细胞ATAC-seq数据分析,扩大其实用性.