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Genome Annotation and Assembly

Genome Annotation and Assembly

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.

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相关实验视频

Updated: Jun 6, 2025

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

纳米级连接学标注标准框架框架

Nicole K Guittari¹, Miguel E Wimbish¹, Patricia K Rivlin¹

¹Research and Exploratory Development Department, Johns Hopkins University Applied Physics Laboratory, Laurel, MD, USA.

|November 22, 2024

概括

此摘要是机器生成的。

开发用于电子显微镜 (EM) 和X射线微断层扫描 (XRM) 的神经数据标准对于管理大脑数据集至关重要. 这些标准确保数据可查找,可访问,可互操作和可重复使用 (FAIR),促进合作和科学发现.

关键词:

在Connectomics上,我们提供了连接.数据标准数据标准电子显微镜电子显微镜公平的数据公平的数据神经解剖学是一个神经解剖学.在X射线微光扫描仪上.

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3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

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Published on: May 12, 2019

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

相关实验视频

Last Updated: Jun 6, 2025

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

Published on: May 4, 2018

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

3D Scanning Technology Bridging Microcircuits and Macroscale Brain Images in 3D Novel Embedding Overlapping Protocol

Published on: May 12, 2019

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

科学领域:

神经科学是一个神经科学.
生物信息学是一种生物信息学.
数据科学数据科学数据科学

背景情况:

来自电子显微镜 (EM) 和X射线显微镜 (XRM) 的大规模,高分辨率数据集对于理解神经结构和突触连接至关重要.
数据集大小的快速增长 (超大规模水平) 需要有效的管理策略,以防止不足利用.
目前的神经数据缺乏标准化格式,阻碍了跨系统兼容性和数据共享.

研究的目的:

概述一个标准框架,用于创建和管理来自高分辨率体积和连接数据集的注释.
确保遵守可查找,可访问,可互操作和可重复使用 (FAIR) 数据原则.
加强协作努力,提高发现的可靠性,并使不同数据集进行比较分析.

主要方法:

在体积数据生成和分析方面,与学术界和行业合作伙伴组成了一个全球工作组.
识别当前EM和XRM数据管道中的缺口.
完善标准化EM和XRM方法的概要和平台,考虑现有的社区方法.

主要成果:

关于从EM和XRM获得的神经数据注释的建议标准框架.
强调捕获神经元实体,生物组件和相关元数据.
专注于适应能力和促进神经科学界内的合作.

结论:

标准化的神经数据管理对于释放高分辨率成像数据集的全部潜力至关重要.
实施FAIR数据实践将加速神经科学研究和发现.
开发的框架旨在促进互操作性和二次数据的使用,推动协作进步.