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相关概念视频

Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

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Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
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Genetic Screens02:46

Genetic Screens

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
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Pedigree Analysis01:35

Pedigree Analysis

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Overview
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相关实验视频

Updated: Jan 16, 2026

A Pathway Association Study Tool for GWAS Analyses of Metabolic Pathway Information
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PACO:一个闪亮的应用程序,用于比较与不同表型相关的扰乱路径.

Giovanni Micale1, Salvatore Alaimo1, Alfredo Pulvirenti1

  • 1Department of Clinical and Experimental Medicine, University of Catania, Catania, 95123, Italy.

Bioinformatics advances
|September 26, 2025
PubMed
概括

PAthway COmparator (PACO) 是一个新的网络应用程序,用于可视化和比较改变的生物途径. 这个工具有助于理解复杂的疾病,通过比较跨物种的途径干扰.

科学领域:

  • 系统生物学 系统生物学
  • 生物信息学是一种生物信息学.
  • 基因组学就是基因组学.

背景情况:

  • 生物通路是分子相互作用的网络,对细胞功能至关重要.
  • 识别改变的途径是理解复杂疾病和基因作用的关键.
  • 目前的工具缺乏可视化和比较跨物种扰乱路径的能力.

研究的目的:

  • 介绍PAthway COmparator (PACO),这是一个用于途径分析的新型网络应用程序.
  • 为了使与不同表型相关的改变路径可视化和比较.
  • 为了促进跨物种路径的比较.

主要方法:

  • PACO 是作为一个 Shiny R 网络应用程序开发的.
  • 它接受来自路径分析算法 (MITHrIL,PHENSIM) 的定制数据或模拟数据.
  • 该应用程序允许用户可视化,比较和缩放到特定的路径区域.

主要成果:

  • PACO可以比较不同类型和物种的扰动路径.
  • 一个案例研究通过比较小鼠和人类的免疫系统途径来证明PACO的实用性.
  • 对比集中在干扰素刺激的15 (ISG15) 基因上调后的变化.

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Mapping Dysfunctional Protein-Protein Interactions in Disease
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JUMPn: A Streamlined Application for Protein Co-Expression Clustering and Network Analysis in Proteomics
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相关实验视频

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结论:

  • PACO解决了对可视化和比较改变路径的工具的需求.
  • 该应用程序支持物种内部和跨物种的比较途径分析.
  • 对于研究复杂疾病和比较基因组学的研究人员来说,PACO是一个宝贵的资源.