APAV:一个先进的泛基因组分析和可视化工具包
Xiaorui Dong1, Du Jiao1, Hongzhang Xue1
1Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China.
PLoS computational biology
|July 7, 2025
概括
APAV是一种用于泛基因组分析的新工具包,增强了在元素层面检测基因存在/缺失变异 (PAVs) 的能力. 这种方法揭示了更多生物学相关的遗传变异,以改善表型-基因型关联研究.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 传统的泛基因组分析,专注于基因存在/缺失变异 (PAVs),在检测小突变和基因间变异方面存在局限性.
- 手动检查PAV是耗时的,妨碍了有效的结果解释.
研究的目的:
- 介绍APAV,用于全面的泛基因组分析和可视化的先进工具包.
- 为了使基因元素水平的PAV分析和任意基因组区域的分析.
- 为PAV配置文件提供交互式可视化和报告.
主要方法:
- APAV集成了基因元素水平的PAV分析和用户定义的基因组区域的分析.
- 它生成交互式HTML报告以可视化PAV配置文件,包括读取深度和覆盖范围.
- 该工具包支持后续分析,如统计,聚类,基因组大小估计和表型关联.
主要成果:
- 元素级PAV分析提供了更准确的变异数据,并比基因级分析识别了更多的变异.
- 在大米基因组中,发现了超过2万个基因和5万个遗传元素.
- 使用APAV的瘤基因组分析显示,与基因水平分析相比,与表型相关的基因大约是基因水平分析的三倍.
结论:
- 通过实现元素级 PAV 检测和交互式可视化,APAV 增强了泛基因组分析.
- 将PAV单元从基因转移到较小的元素可以产生更大的生物学见解,并改善表型-基因型关联研究.
相关概念视频
Genomics
37.5K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
37.5K
Evolutionary Relationships through Genome Comparisons
6.2K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
6.2K
Genome-wide Association Studies-GWAS
14.4K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
GWAS does not require the identification of the target gene involved in...
14.4K
Next-generation Sequencing
92.7K
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features....
92.7K
Applications of Molecular Taxonomy
115
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
115
Karyotyping
62.5K
Overview
62.5K


