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

Improving Translational Accuracy02:07

Improving Translational Accuracy

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...
Cluster Sampling Method01:20

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Improving Translational Accuracy02:07

Improving Translational Accuracy

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...

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

Identifying circulating protein targets for common factors underlying schizophrenia, depression, and bipolar disorder.

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

Colocalization and discordance between plasma and brain protein quantitative trait loci.

bioRxiv : the preprint server for biology·2026
Same author

Challenges to case-only analysis for interaction detection using polygenic risk scores: model assumptions and biases in large biobanks.

Genetics·2026
Same author

No More Free Lunch: Challenges to Mendelian Randomization Due to Sample Selection and Complex Methods.

The Journal of clinical endocrinology and metabolism·2025
Same author

IL-4 induces CD22 expression to restrain the effector program of virtual memory T cells.

Science immunology·2025
Same author

MR Corge: sensitivity analysis of Mendelian randomization based on the core gene hypothesis for polygenic exposures.

Bioinformatics (Oxford, England)·2024
Same journal

Genetic survey of biomarkers at early and mid-pregnancy identifies pregnancy-specialized immune regulation.

PLoS genetics·2026
Same journal

Argonaute proteins orchestrate Meiotic Sex Chromosome Inactivation and timing of the spermatogenic transcriptional program.

PLoS genetics·2026
Same journal

Genome wide association study meta-analysis of neuropathologic lesions of Alzheimer's disease and related dementias in a multi-site autopsy cohort.

PLoS genetics·2026
Same journal

Microtubule stiffening by the doublecortin-domain protein ZYG-8 contributes to mitotic spindle orientation during zygote division in Caenorhabditis elegans.

PLoS genetics·2026
Same journal

Multiple instance fine-mapping: Predicting causal regulatory variants with a deep sequence model.

PLoS genetics·2026
Same journal

Nuclear ubiquitin-conjugating enzyme TrUbc4 and F-box protein TrFwd1-mediated modification of Cre1 in Trichoderma reesei establishes a regulatory mechanism for carbon catabolite repression.

PLoS genetics·2026
查看所有相关文章

相关实验视频

Updated: Jun 18, 2026

Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

17.9K

SparsePro:一个高效的精细映射方法,整合总结统计和功能注释.

Wenmin Zhang1, Hamed Najafabadi1,2,3, Yue Li1,4

  • 1Quantitative Life Sciences, McGill University, Montreal, Quebec, Canada.

PLoS genetics
|December 28, 2023
PubMed
概括
此摘要是机器生成的。

这项研究介绍了SparsePro,这是一种有效的方法,用于从全基因组关联研究 (GWAS) 中细化绘制遗传变异. SparsePro集成了功能性注释,以提高准确性和速度,帮助复杂的特征遗传学研究.

更多相关视频

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
12:11

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization

Published on: February 27, 2020

6.9K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

761

相关实验视频

Last Updated: Jun 18, 2026

Functional Mapping with Simultaneous MEG and EEG
06:04

Functional Mapping with Simultaneous MEG and EEG

Published on: June 14, 2010

17.9K
Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization
12:11

Simultaneous Affinity Enrichment of Two Post-Translational Modifications for Quantification and Site Localization

Published on: February 27, 2020

6.9K
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

761

科学领域:

  • 遗传学和基因组学 遗传学和基因组学
  • 计算生物学 计算生物学
  • 统计遗传学 统计遗传学

背景情况:

  • 在全基因组关联研究 (GWAS) 中识别因果变异是很困难的,原因是链接不平衡 (LD) 和每个位置的多种因果变异.
  • 功能性基因组注释可以优先考虑生物相关变异,增强GWAS精细映射.
  • 现有的精细映射方法面临着复杂的遗传架构和LD模式的计算挑战.

研究的目的:

  • 开发一种高效的精细测绘方法,整合总结统计和功能基因组注释.
  • 提高识别因果变异的功率和降低计算成本.
  • 为更准确的精细绘图提供功能信息的先验.

主要方法:

  • 通过通过稀疏投影将SuSiE算法与平均场变量推理算法连接起来,开发了SparsePro.
  • 实施了超参数估计和后置概率总结的策略.
  • 通过共同估计 priors. 的丰富权重,纳入功能注释.

主要成果:

  • 与使用英国生物库数据的模拟中最先进的方法相比,SparsePro表现出更好的精细映射能力.
  • 该方法实现了减少计算时间.
  • 在SparsePro的成功应用中,为临床相关的表型精确地绘制了五种功能生物标志物.

结论:

  • SparsePro是一种高效有效的方法,通过整合总结统计和功能注释来精细绘制遗传变异.
  • 开发的方法对于理解复杂的特征遗传学具有广泛的实用性.
  • SparsePro可以提高GWAS功能后续研究的产量.