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

35.3K
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...
35.3K
Sanger Sequencing01:57

Sanger Sequencing

751.5K
DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
751.5K
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.6K
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...
5.6K
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

18.7K
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.
18.7K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

3.9K
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...
3.9K
DNA Microarrays02:34

DNA Microarrays

17.1K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
17.1K

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

Harmonized metagenomic signatures of the gut microbiome reveal robust species, functions, and strain links to inflammatory bowel disease.

Gastroenterology·2026
Same author

Community-driven advances in computational mass spectrometry: The perspective of EuBIC-MS members.

Journal of proteomics·2026
Same author

Cleavage of MEP-1 by DPF-3 reveals novel substrate specificity and its impact on reproductive fitness.

EMBO reports·2026
Same author

Task Performance and Queen Presence Influence the Brain Transcriptome in a Bumble Bee (Bombus terrestris) With a Flexible Division of Labour System.

Molecular ecology·2026
Same author

Th2 cytokine-induced mucociliary remodeling in chronic rhinosinusitis: implications for antiviral defense and epithelial function.

Respiratory research·2026
Same author

The rise of polyploids during environmental upheaval.

Cell·2026

相关实验视频

Updated: May 17, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K

在生物导体社区学习和教学生物数据科学.

Jenny Drnevich1, Frederick J Tan2, Fabricio Almeida-Silva3,4

  • 1Roy J. Carver Biotechnology Center, University of Illinois Urbana-Champaign, Illinois, USA.

ArXiv
|March 31, 2025
PubMed
概括

生物研究产生了大量的数据,需要生物数据科学培训. 本指南突出了生物导体项目资源和对OMIC数据分析的最佳实践,以帮助学习者和教育工作者.

更多相关视频

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.4K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.2K

相关实验视频

Last Updated: May 17, 2025

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

3.9K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.4K
Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.2K

科学领域:

  • 生物信息学和计算生物学
  • 基因组学和转录基因组学

背景情况:

  • 现代生物研究是数据密集型的.
  • 越来越需要培训生物数据科学.

研究的目的:

  • 提供生物导体项目资源的概述.
  • 概述使用生物导体进行omics数据分析的最佳实践.

主要方法:

  • 对生物导体项目文档和社区资源的审查.
  • 确定用于OMIC数据分析的关键工具和工作流程.

主要成果:

  • 生物导体为生物数据科学提供了一个全面的生态系统.
  • 最佳实践强调可重复和可扩展的omics数据分析.

结论:

  • 生物导体是生物数据科学培训的宝贵资源.
  • 本指南支持学生和教育工作者利用生物导体进行欧米分析.