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

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

Selective radial thickness growth of compositionally graded shells on colloidal quantum rods for more efficient light-emitting diodes.

Nature communications·2026
Same author

SAPCD2 phosphorylation modulates astral microtubule stability to control spindle orientation.

Communications biology·2026
Same author

Cross-Modal Denoising and Integration of Spatial Multi-Omics Data with CANDIES.

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

The critical role and catalytic mechanism of pig liver esterase F2 in the hydrolysis of T-2 toxin.

International journal of biological macromolecules·2026
Same author

Bridging unpaired single-cell multimodal data for integrative analyses with SuperMap.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Unlocking the Orbital Interaction Mode in Li-O<sub>2</sub> Batteries.

Angewandte Chemie (International ed. in English)·2025
Same journal

OmicsTransformer: Self-Supervised Masked Consistency and Uncertainty-Aware Fusion for Robust Multi-Omics Prediction.

Bioinformatics (Oxford, England)·2026
Same journal

Computational Tool Choice Impacts CRISPR Spacer-Proto spacer Detection.

Bioinformatics (Oxford, England)·2026
Same journal

ARISE: RNA-Anchored Shared-Edge Topology and Hierarchical Fusion for Spatial Multi-Omics Integration.

Bioinformatics (Oxford, England)·2026
Same journal

Interactive exploration of biobank-scale ancestral recombination graphs with Lorax.

Bioinformatics (Oxford, England)·2026
Same journal

PepMCP: A Graph-Based Membrane Contact Probability Predictor for Membrane-Lytic Antimicrobial Peptides.

Bioinformatics (Oxford, England)·2026
Same journal

ARGscape: A modular, interactive tool for manipulation of spatiotemporal ancestral recombination graphs.

Bioinformatics (Oxford, England)·2026
查看所有相关文章

相关实验视频

Updated: Jun 3, 2025

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

19.6K

Funmap:集成高维的功能注释来改进精细映射.

Yuekai Li1, Jiashun Xiao2, Jingsi Ming3

  • 1Department of Biostatistics, City University of Hong Kong, Hong Kong, China.

Bioinformatics (Oxford, England)
|January 12, 2025
PubMed
概括
此摘要是机器生成的。

精细映射方法在许多注释中扎,导致错误的阳性. 我们的新方法Funmap有效地集成了高维的功能注释,以提高精细映射能力,并控制复杂特征的错误发现率.

更多相关视频

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

18.9K
Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

8.0K

相关实验视频

Last Updated: Jun 3, 2025

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
08:09

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

19.6K
Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
04:41

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration

Published on: January 9, 2020

18.9K
Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions
08:07

Probing High-density Functional Protein Microarrays to Detect Protein-protein Interactions

Published on: August 2, 2015

8.0K

科学领域:

  • 遗传学 是一个遗传学.
  • 统计遗传学 统计遗传学
  • 生物信息学是一种生物信息学.

背景情况:

  • 精细映射使用全基因组关联研究 (GWAS) 数据优先考虑复杂特征中的因果变异.
  • 功能性注释增强了精细映射能力,但现有的方法通常会在大型数据集中产生错误的阳性结果.

研究的目的:

  • 开发一种统一的方法 (Funmap),用于将高维的功能注释集成到精细映射中.
  • 为了提高精细映射功率,同时保持可控的假阳性率.

主要方法:

  • Funmap集成了数百个功能注释,使用随机效应模型将注释与因果概率联系起来.
  • 一个快速的算法允许可扩展的整合多个注释,以优先考虑多个因果单核酸多态 (SNP).

主要成果:

  • 模拟显示Funmap控制高维注释下的虚假发现率,与其他方法不同.
  • Funmap 实现了与现有方法相比可比或更好的功率增益.
  • 将其应用于4个脂质GWAS数据集,其中有187个注释,显示出更高的复制率 (15.5%-26.2%的改善).

结论:

  • Funmap提供了一种强大且精确校准的方法,用于使用广泛的功能注释精制复杂的特征.
  • 该方法增强了变异优先级,并提高了独立队列中的复制率.