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

DNA Microarrays02:34

DNA Microarrays

17.4K
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...
17.4K
Proteomics01:33

Proteomics

7.3K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
7.3K

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

Simulation of 69 microbial communities indicates sequencing depth and false positives are major drivers of bias in prokaryotic metagenome-assembled genome recovery.

PLoS computational biology·2024
Same author

BioDeepfuse: a hybrid deep learning approach with integrated feature extraction techniques for enhanced non-coding RNA classification.

RNA biology·2024
Same author

Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy.

Entropy (Basel, Switzerland)·2023
Same author

BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria.

Briefings in bioinformatics·2022
Same author

MathFeature: feature extraction package for DNA, RNA and protein sequences based on mathematical descriptors.

Briefings in bioinformatics·2021
Same author

CRISPRloci: comprehensive and accurate annotation of CRISPR-Cas systems.

Nucleic acids research·2021

相关实验视频

Updated: Jun 29, 2025

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

16.8K

生物地图::CHIP:大规模的动机分析

Jader M Caldonazzo Garbelini1, Danilo S Sanches2, Aurora T Ramirez Pozo3

  • 1Department of Informatics, Federal University of Parana, XV de Novembro Street, Curitiba, Parana, 80060000, Brazil. jmcgarbelini@inf.ufpr.br.

BMC bioinformatics
|March 26, 2024
PubMed
概括
此摘要是机器生成的。

BIOMAPP::CHIP优化了对大型数据集的生物动机发现,例如来自ChIP-seq.的数据集. 与现有方法相比,这种新工具提供了更高的准确性和速度.

关键词:
这就是Chip-seqq.克默人正在进行计数.动机发现 动机发现优化优化 优化优化

更多相关视频

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

10.4K
Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
12:29

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

9.3K

相关实验视频

Last Updated: Jun 29, 2025

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems
12:24

DNA-affinity-purified Chip DAP-chip Method to Determine Gene Targets for Bacterial Two component Regulatory Systems

Published on: July 21, 2014

16.8K
Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes
07:55

Using SCOPE to Identify Potential Regulatory Motifs in Coregulated Genes

Published on: May 31, 2011

10.4K
Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis
12:29

Identifying Transcription Factor Olig2 Genomic Binding Sites in Acutely Purified PDGFRα+ Cells by Low-cell Chromatin Immunoprecipitation Sequencing Analysis

Published on: April 16, 2018

9.3K

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

背景情况:

  • 发现生物动机对于理解基因调节至关重要.
  • Kmers是对图案的高效计算表示.
  • 准确和高效的KMER计数对于大规模的生物数据分析至关重要,特别是来自ChIP-seq.

研究的目的:

  • 介绍BIOMAPP::CHIP,这是一个优化生物动机发现的新工具.
  • 解决在动机发现中分析大量数据的挑战.

主要方法:

  • 开发了BIOMAPP::CHIP,其中有一个专门的SMT组件用于kmer计数.
  • 对最先进的算法进行了比较测试.

主要成果:

  • 生物地图:CHIP表现出比现有方法更高的性能和准确性.
  • 实现了对重要动机的更高检测率和更快的执行时间.
  • SMT组件在kmer计数中被证明是敏捷和准确的,提高了整体工具的有效性.

结论:

  • 生物地图:CHIP为大型数据集,特别是ChIP-seq数据的生物动机发现取得了进展.
  • 为研究人员提供了一种强大的替代方案,有可能加速未来的发现.
  • 该软件可以在https://github.com/jadermcg/biomapp-chip.com上获得.