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

Sinusoidal Sources01:18

Sinusoidal Sources

1.2K
Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
1.2K
Exponential and Sinusoidal Signals01:18

Exponential and Sinusoidal Signals

765
The exponential function is crucial for characterizing waveforms that rise and decay rapidly. This continuous-time exponential function is defined using exponential terms with constants α and A. When both constants are real, the function is represented as,
765
Modeling with Differential Equations01:25

Modeling with Differential Equations

98
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
98
Graphical and Analytic Representation of Sinusoids01:20

Graphical and Analytic Representation of Sinusoids

1.0K
Analyzing two sinusoidal voltages with equal amplitude and period but different phases on an oscilloscope, an instrument used to display and analyze waveforms, involves a three-step process.
The first step is measuring the peak-to-peak value, which is twice the amplitude of the sinusoid. This provides information about the maximum voltage swing of the waveform.
Secondly, the period and angular frequency are determined. The period is the time taken for one complete cycle of the waveform, while...
1.0K
Classification of Systems-II01:31

Classification of Systems-II

520
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
520
Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

41.8K
The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.
41.8K

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

A. salmonicida infection inhibits rainbow trout gill mucin production.

Fish & shellfish immunology·2025
Same author

Bridging worlds: connecting glycan representations with glycoinformatics via Universal Input and a canonicalized nomenclature.

Bioinformatics advances·2025
Same author

GlyContact analyzes glycan 3D structures at scale.

Nature communications·2025
Same author

Seal milk oligosaccharides rival human milk complexity and exhibit functional dynamics during lactation.

Nature communications·2025
Same author

Serum N-glycosylation is altered in Nephropathic Cystinosis.

Glycobiology·2025
Same author

Compositional data analysis enables statistical rigor in comparative glycomics.

Nature communications·2025

相关实验视频

Updated: Feb 17, 2026

A Computational Method to Quantify Fly Circadian Activity
13:05

A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

6.3K

PyCycleBio:模拟时间生物学中的非正弦振荡器系统.

Alexander R Bennett1, George Birchenough1,2, Daniel Bojar2,3

  • 1Department of Medical Biochemistry, Institute of Biomedicine, University of Gothenburg, 41390 Gothenburg, Sweden.

Bioinformatics advances
|February 16, 2026
PubMed
概括
此摘要是机器生成的。

PyCycleBio集成了波器和Cosinor模型,用于强大的生物节奏分析. 这个新平台提高了对转录组学,蛋白组学和代谢组学数据的敏感性,进步了时代生物学.

更多相关视频

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

3.3K
An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

8.2K

相关实验视频

Last Updated: Feb 17, 2026

A Computational Method to Quantify Fly Circadian Activity
13:05

A Computational Method to Quantify Fly Circadian Activity

Published on: October 28, 2017

6.3K
A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

3.3K
An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions
07:59

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

8.2K

科学领域:

  • 时间生物学 时间生物学
  • 生物信息学是一种生物信息学.
  • 系统生物学 系统生物学

背景情况:

  • 蛋白质,mRNA和代谢物等生物分子表现出节律变化,特别受昼夜周期的影响.
  • 目前用于节奏分析的生物信息学工具使用单组件波器模型用于时间动态或多组件Cosinor模型用于复杂模式.

研究的目的:

  • 开发一个新的生物信息平台,PyCycleBio,它结合了波器和Cosinor模型的优势.
  • 通过建模各种节奏行为和时间动态来增强生物节奏的分析.

主要方法:

  • PyCycleBio采用边界多元件模型和模块运算符,与波器方程相结合.
  • 该平台模拟了节奏行为,包括通过振幅系数调节时间动态.

主要成果:

  • 与现有的分析框架相比,PyCycleBio显示出更高的灵敏度和功能.
  • 该平台揭示了数据类型 (转录组学,蛋白质组学,代谢组学),采样条件和节奏特征之间的新兴关联.
  • 发现了对生物分子时间调节的新见解.

结论:

  • PyCycleBio提供了一种先进的方法来分析生物分子的复杂时间调节.
  • 预计这个平台将大大推进时代生物学和生理学理解领域.
  • 该工具可以通过GitHub,PyPI和Google Colab访问,以实现广泛的可用性.