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

36.3K
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...
36.3K

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

MAJIQ-CLIN: A novel tool to help identify Mendelian disease-causing variants from RNA-Seq data.

Genetics in medicine : official journal of the American College of Medical Genetics·2026
Same author

Quantifying sleep wake rhythms in the hospital environment with digital technologies.

NPJ digital medicine·2026
Same author

TracMyAir: Smartphone-enabled spatiotemporal estimates for inhaled doses of particulate matter and ozone to personalize health outcomes.

medRxiv : the preprint server for health sciences·2026
Same author

Depression of tryptophan may contribute to adverse effects of naproxen.

Nature communications·2026
Same author

Age and the Diurnal Oscillatory Features of the Human Chronobiome.

medRxiv : the preprint server for health sciences·2026
Same author

Concomitant COX-1 and COX-2 suppression is not sufficient to induce enteropathy associated with chronic NSAID use.

The Journal of clinical investigation·2026

相关实验视频

Updated: Jul 5, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.6K

在omics比较测试中的挑战和最佳实践.

Thomas G Brooks1, Nicholas F Lahens1, Antonijo Mrčela1

  • 1Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA.

Nature reviews. Genetics
|January 12, 2024
PubMed
概括

Omics数据分析需要强大的基准测试,以确保可靠的结果. 本综述解决了omics基准测试中的常见陷,并为透明和有意义的绩效评估提供了指导方针.

更多相关视频

A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.0K
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

3.7K

相关实验视频

Last Updated: Jul 5, 2025

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation
12:54

Real-time Analysis of Transcription Factor Binding, Transcription, Translation, and Turnover to Display Global Events During Cellular Activation

Published on: March 7, 2018

13.6K
A Strategy for Sensitive, Large Scale Quantitative Metabolomics
14:18

A Strategy for Sensitive, Large Scale Quantitative Metabolomics

Published on: May 27, 2014

21.0K
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

3.7K

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
  • 数据科学数据科学数据科学

背景情况:

  • 由微阵列和高通量测序等技术驱动的奥米克时代,产生了庞大的生物数据集.
  • 奥米克斯基准测试,对转录组学,蛋白组学和代谢组学分析方法的评估,有25年的历史.
  • 尽管成熟,但在产生有意义的基准数据和评估绩效方面仍然存在挑战.

研究的目的:

  • 识别和突出显示omics基准测试中常见的错误和陷.
  • 提出一种方法来解决并透明地报告基准测试挑战.
  • 提供关于最近的发展和OMIC数据分析中的常见困难的指导.

主要方法:

  • 审查现有的omics基准测试研究和方法.
  • 开发一个全面的报告准则模板 (电子表格).
  • 调查该领域的最新进展和共同挑战.

主要成果:

  • 识别omics基准测试实践中的反复出现的问题和潜在偏差.
  • 建立一个结构化的方法,以透明地报告基准测试结果.
  • 为面对常见的数据分析挑战的研究人员提供实用指导.

结论:

  • 标准化和透明的omics基准测试对于可靠的生物数据分析至关重要.
  • 拟议的指导方针旨在提高omics比较研究的质量和可解释性.
  • 解决常见的陷将提高omics数据在科学发现中的实用性.