简单的FigAssembler:通过有效的图形组装来增强Omics数据叙述.
Nguyen Phuoc Long1,2, Nguyen Quang Thu1
1Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan 333, Taiwan.
Journal of proteome research
|March 4, 2026
概括
EasyFigAssembler简化了为出版物创建复杂的多面板omics图形的过程. 这款网络应用程序通过智能布局和质量检查来加快图形组装,减少错误并节省研究人员的时间.
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
- 科学可视化科学可视化
背景情况:
- 多面板电脑数字对于数据通信至关重要,但复杂的创建.
- 现有的工具需要专业技能,并且耗时.
- 存在对高效和用户友好的omics图形组装软件的需求.
研究的目的:
- 介绍EasyFigAssembler,一个旨在简化和加快创建多面板omics图形的Web应用程序.
- 为图形组装提供全面的解决方案,而不需要编程专业知识.
- 提高科学数据的质量和期刊合规性.
主要方法:
- 开发了一个用户友好的Web应用程序,EasyFigAssembler.
- 实现了诸如非破坏性面板编辑,项目管理和高分辨率出口等功能.
- 集成了一个智能布局功能,用于自动化面板排列.
- 包括用于复杂布局创建的高级控制和质量顾问模块.
主要成果:
- 易FigAssembler显著简化和加速组装多面板的奥米克图形.
- 该应用程序支持非破坏性编辑,项目管理和各种出口格式 (TIFF,PDF,PNG,JPEG).
- 智能布局和先进的控制方便快速创建出版准备的复杂布局.
- 质量顾问确保有效的分辨率和色盲友好的调色板,以确保期刊的合规性.
结论:
- EasyFigAssembler提供了一个完整,高效和用户友好的解决方案,用于组装复杂的基于omics的数字.
- 该工具使研究人员能够创建高质量的,准备出版的数据,以减少努力和错误.
- EasyFigAssembler促进了更好的数据可视化和对OMICS研究中的期刊标准的遵守.
相关概念视频
Genome Annotation and Assembly
21.2K
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.
21.2K
Review and Preview
12.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
12.0K
Statistical Analysis: Overview
16.8K
When we take repeated measurements on the same or replicated samples, we will observe inconsistencies in the magnitude. These inconsistencies are called errors. To categorize and characterize these results and their errors, the researcher can use statistical analysis to determine the quality of the measurements and/or suitability of the methods.
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
16.8K
Biostatistics: Overview
960
Biostatistics plays a crucial role in understanding and analyzing data in healthcare and biology. Biostatisticians conduct experiments, gather evidence, and draw meaningful conclusions using statistical methods and techniques. Different variables form the foundation of biostatistical analysis, allowing researchers to understand and interpret data effectively. These variables are classified into different types, each serving a specific purpose in statistical analysis.
Discrete variables are...
Discrete variables are...
960
DNA Microarrays
21.6K
Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
21.6K
Assembly of Signaling Complexes
6.8K
Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
Interaction domains in cell signaling
Interaction domains recognize exposed features of their binding partners containing post-translationally modified sequences,...
6.8K


