Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

Super-resolution Fluorescence Microscopy

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...

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

HiCP2GAN: A Plug and Play Foundation Model-based GAN for Hi-C Enhancement.

bioRxiv : the preprint server for biology·2026

Same author

Spliceread: improving canonical and non-canonical splice site prediction with residual blocks and synthetic data augmentation.

BMC bioinformatics·2026

Same author

The Heartbeat that Hesitates: Quick H.I.T.s for Emergency Bradycardia.

Emergency medicine clinics of North America·2026

Same author

Acute and persistent neuroendocrine and behavioral alterations after social fear conditioning in adolescent male mice.

Journal of neuroendocrinology·2026

Same author

SpliceRead: Improving Canonical and Non-Canonical Splice Site Prediction with Residual Blocks and Synthetic Data Augmentation.

bioRxiv : the preprint server for biology·2026

Same author

HiCInterpolate: 4D Spatiotemporal Interpolation of Hi-C Data for Genome Architecture Analysis.

bioRxiv : the preprint server for biology·2026

Same journal

Functional Genomic Evidence for Candidate Small Viral RNA-Mediated Epigenetic Interference in SARS-CoV-1 and SARS-CoV-2.

Computational and structural biotechnology journal·2026

Same journal

From Pixels to Patterns: A Multidimensional Framework to Decode Cytoskeletal Organization.

Computational and structural biotechnology journal·2026

Same journal

A Large Concept Model for Mechanistic Simulation of Disease Trajectories: A Hypothesis-Generating Exemplar for Pediatric Acute Lymphoblastic Leukemia.

Computational and structural biotechnology journal·2026

Same journal

Adversarial Sequence Mutations in AlphaFold and ESMFold Reveal Nonphysical Structural Invariance, Confidence Failures, and Concerns for Protein Design.

Computational and structural biotechnology journal·2026

Same journal

High-Throughput Prediction of Protein-Protein Interactions Uncovers Hidden Molecular Networks in Biosynthetic Gene Clusters.

Computational and structural biotechnology journal·2026

Same journal

A Region-Aware Structured Framework Improves Prediction of Gene Expression from DNA Methylation.

Computational and structural biotechnology journal·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: May 17, 2025

Capturing Chromosome Conformation Across Length Scales

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

ScHiCAtt:使用基于注意力的模型提高单细胞Hi-C数据分辨率.

Rohit Menon¹, H M A Mohit Chowdhury¹, Oluwatosin Oluwadare^1,2

¹Department of Computer Science, University of Colorado at Colorado Springs, Colorado Springs, 80918, CO, USA.

Computational and structural biotechnology journal

|March 31, 2025

概括

此摘要是机器生成的。

基于注意力的新型模型ScHiCAtt通过捕获复杂的基因组相互作用来提高单细胞Hi-C数据的分辨率. 这种方法改善了3D基因组结构分析,并在各种生物背景中显示出强烈的概括性.

关键词:

数据稀疏性数据稀疏性这就是Hi-C数据.解决方案增强解决方案的增强专注于自己的注意力一个单细胞的Hi-C.

更多相关视频

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

相关实验视频

Last Updated: May 17, 2025

Capturing Chromosome Conformation Across Length Scales

Capturing Chromosome Conformation Across Length Scales

Published on: January 20, 2023

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

科学领域:

基因组学就是基因组学.
计算生物学计算生物学
分子生物学分子生物学

背景情况:

染色体的空间组织对于基因调节和细胞功能至关重要.
单细胞Hi-C数据提供了对3D基因组结构的洞察力,但受到了低分辨率和数据稀疏性的困扰.
现有的计算模型在细节保存和跨细胞线路概括方面扎.

研究的目的:

开发一种先进的计算模型,以提高单细胞 Hi-C 数据的分辨率.
解决传统方法在捕获细节和跨细胞类型的概括方面存在的局限性.
从稀疏的低分辨率数据改进对3D基因组结构的分析.

主要方法:

介绍了ScHiCAtt (基于注意力的单细胞Hi-C模型).
利用注意力机制,在高温接触地图中捕捉远程和局部依赖.
动态关注感兴趣的地区,以减轻数据稀疏性和提高性能.

主要成果:

ScHiCAtt显著提高了分辨率,同时保持了生物相关的相互作用.
在人类和多索菲拉单细胞Hi-C数据上表现出优于现有方法的性能.
在不同的染色体,细胞类型,物种和数据类型 (从单细胞到批量) 中展示了强大的概括.

结论:

ScHiCAtt有效地克服了单细胞Hi-C数据分析中的分辨率和稀疏性挑战.
基于注意力的方法为3D基因组结构研究提供了强大而适应性的解决方案.
该模型强大的概括能力为比较基因组学和细胞类型特定分析开辟了新的途径.