整合背景知识,以自动检测基因本体学注释中的不一致性
Jiyu Chen1,2, Benjamin Goudey1, Nicholas Geard1
1School of Computing and Information Systems, The University of Melbourne, Parkville 3010, VIC, Australia.
Bioinformatics (Oxford, England)
|June 28, 2024
概括
这项研究通过整合生物背景知识,增强了基因本体学注释 (GOA) 中不一致性的自动检测. 新方法提高了识别生物数据库记录中的错误的准确性.
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
- 基因组学就是基因组学.
背景情况:
- 生物数据库的手动质量保证 (QA),如基因本体学注释 (GOA),对于准确性至关重要.
- 现有的用于GOA不一致性检测的自动方法缺乏特定领域的背景知识集成.
- 基于文献的GOA需要对证据,基因本体学 (GO) 术语和注释基因进行验证.
研究的目的:
- 调查背景知识的类型,可以改进GOA不一致性的自动检测.
- 提出和评估将背景知识整合到GOA自动不一致性检测中的方法.
主要方法:
- 扩展了GOA不一致数据集,提供了多种背景知识:GeneRIF语句,生物概念,GO层次和基因特定的GO注释.
- 开发和应用新的方法,将这种背景知识整合到自动不一致性检测中.
主要成果:
- 提出的方法有效地将背景知识整合到GOA自动不一致性检测中.
- 在检测自我一致性和普遍类型的GOA不一致性方面观察到显著的改进.
- 在GOA自动检测不一致性方面建立了一个新的绩效基准.
结论:
- 这项研究开创了背景知识的使用,以提高GOA自动不一致性检测.
- 开发的方法为提高生物数据库质量管理的准确性提供了实际解决方案.
- 该方法可能适用于其他需要背景知识整合的生物信息学任务.
更多相关视频
07:35A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
Published on: October 13, 2023
1.6K
10:40Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine
Published on: December 22, 2017
10.5K
相关概念视频
Genome Annotation and Assembly
18.8K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
18.8K
Gene Families
8.8K
Gene families consist of groups of genes proposed to have originated from a common ancestor. Typically these arise through events in which a gene or genes are mistakenly duplicated during cell division. Unlike their parent genes (which are subject to selection pressure to maintain function), these gene copies do not need to preserve their sequences and may evolve at a relatively faster rate.
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
Occasionally these regions can be adapted to take on new roles within the organism, becoming novel genes...
8.8K
Gene Evolution - Fast or Slow?
7.1K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
In contrast, regions which code...
7.1K
Organization of Genes
68.5K
Overview
68.5K
Gene Duplication and Divergence
6.1K
The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are...
6.1K
Genomics
36.3K
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...
36.3K
