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

Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

256
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
256
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

102
An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
102
Rapidly Varying Flow01:24

Rapidly Varying Flow

107
Rapidly varying flow (RVF) in open channels is characterized by abrupt changes in flow depth over a short distance, with the rate of depth change relative to distance often approaching unity. These flows are inherently complex due to their transient and multi-dimensional nature, making exact analysis difficult. However, approximate solutions using simplified models provide valuable insights into their behavior.Key Features of Rapidly Varying FlowRVF is commonly observed in scenarios involving...
107
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

11.3K
In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...
11.3K
Upsampling01:22

Upsampling

267
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
267
Parallel Processing01:20

Parallel Processing

187
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
187

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

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same author

Integrative multi-omics analysis of growth plate regulation underlying body size in miniature pigs.

Communications biology·2026
Same author

Modeling strategies for <i>in vivo</i> transcription factor binding predictions.

Bioinformatics advances·2026
Same author

Requirements for the precision and reproducibility in the efficacy testing of chemical disinfection procedures.

GMS hygiene and infection control·2026
Same author

Evaluation of 15-second alcohol-based hand rub efficacy: a multi-laboratory study using a modified EN 1500 protocol.

The Journal of hospital infection·2026
Same author

[Regular inspections of hospitals by the public health service: nationwide representative data collection on structure, organization, and content in Germany].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz·2025

相关实验视频

Updated: Jul 28, 2025

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.7K

层次交叉繁荣过器:能够实现超快的,近似的序列查询.

Svenja Mehringer1, Enrico Seiler2, Felix Droop2

  • 1Department of Mathematics and Computer Science, Freie Universität Berlin, Takustr. 9, 14195, Berlin, Germany. svenja.mehringer@fu-berlin.de.

Genome biology
|May 31, 2023
PubMed
概括
此摘要是机器生成的。

我们开发了一种新的层次交联繁殖过器 (HIBF),用于在大型数据库中快速且空间高效的序列搜索. 这种新型数据结构在速度和内存使用方面显著优于现有的工具,同时保持高准确度.

关键词:
没有对齐的分析.大概的会员查询查询.布鲁姆过器 布鲁姆过器转基因组学是指转基因组学.迷你化器 迷你化器 迷你化器序列搜索的搜索顺序是什么

更多相关视频

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

7.5K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.4K

相关实验视频

Last Updated: Jul 28, 2025

Blood Flow Imaging with Ultrafast Doppler
05:57

Blood Flow Imaging with Ultrafast Doppler

Published on: October 14, 2020

7.7K
Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection
08:01

Tuning a Parallel Segmented Flow Column and Enabling Multiplexed Detection

Published on: December 15, 2015

7.5K
Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
07:19

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

Published on: June 28, 2017

10.4K

科学领域:

  • 计算机科学 计算机科学
  • 生物信息学是一种生物信息学.
  • 数据结构 数据结构

背景情况:

  • 搜索大序列数据库是计算密集的.
  • 现有的数据结构经常面临速度,内存效率和准确性之间的权衡.

研究的目的:

  • 为序列搜索引入一种新,高效的数据结构.
  • 为了证明层次交叉花过器 (HIBF) 与最先进的方法相比的性能优势.

主要方法:

  • 发展层次交叉繁荣波器 (HIBF) 数据结构.
  • 对HIBF与现有工具的比较分析,包括构建时间,索引大小和搜索时间.
  • 对近似的会员查询的准确性评估.

主要成果:

  • 在构建时间 (高达211倍更快),索引大小 (高达14倍更小) 和搜索时间 (高达129倍更快) 方面,HIBF表现出卓越的性能.
  • 达到与当前最先进的工具相比或更高的准确性.
  • HIBF是一种通用数据结构,适用于各种数据库搜索应用程序.

结论:

  • 层次交联繁殖过器 (HIBF) 在序列搜索的效率上提供了显著的改进.
  • HIBF为各种数据密集型应用提供了一种强大而通用的引擎.
  • 这种新的数据结构代表了数据库搜索技术的重大进步.