Abstract
Gene Ontology facilitates biomedical knowledge representation and efficient information management. The systematic representation and hierarchical structure of Gene Ontology bring forth great potential to examine data and information across the broad spectrum of biology. This article briefly discusses GO annotation and three interesting areas in Gene Ontology-facilitated genome analysis.
Keywords: ontology, gene ontology, gene cluster, antisense genes, microarray analysis
Current Genomics
Title: Gene Ontology-Facilitated Genome Analysis
Volume: 4 Issue: 7
Author(s): Hanqing Xie
Affiliation:
Keywords: ontology, gene ontology, gene cluster, antisense genes, microarray analysis
Abstract: Gene Ontology facilitates biomedical knowledge representation and efficient information management. The systematic representation and hierarchical structure of Gene Ontology bring forth great potential to examine data and information across the broad spectrum of biology. This article briefly discusses GO annotation and three interesting areas in Gene Ontology-facilitated genome analysis.
Export Options
About this article
Cite this article as:
Xie Hanqing, Gene Ontology-Facilitated Genome Analysis, Current Genomics 2003; 4 (7) . https://dx.doi.org/10.2174/1389202033490196
DOI https://dx.doi.org/10.2174/1389202033490196 |
Print ISSN 1389-2029 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5488 |
Call for Papers in Thematic Issues
Advanced Computational Algorithms and Artificial Intelligence in Clinical Pharmacogenomics
In the era of personalized medicine, understanding the relationship between genetics and drug response is crucial. This issue delves into innovative methodologies, leveraging deep computational analysis and artificial intelligence, to enhance the field of Clinical Pharmacogenomics. The interdisciplinary approach harnesses the power of advanced high-throughput genotyping technologies, sophisticated computational analysis, ...read more
Applications of Single-cell Sequencing Technology in Reproductive Medicine
Single cell sequencing (SCS) technology utilizes individual cells' genetic material to sequence their genome, transcriptome, and epigenetics at the molecular level. It offers insights into cell heterogeneity and enables the study of limited biological materials. Since its recognition as a valuable technique in 2011, single cell sequencing has yielded numerous ...read more
Big Data in Cancer Research
Cancer is a significant threat to human life and health, remaining a highly aggressive killer. It is a leading cause of death worldwide and represents a crucial medical issue for humanity. However, in the past decade, the effectiveness of new synthetic anticancer agents has not matched the current clinical speculation. ...read more
Current Genomics in Cardiovascular Research
Cardiovascular diseases are the main cause of death in the world, in recent years we have had important advances in the interaction between cardiovascular disease and genomics. In this Research Topic, we intend for researchers to present their results with a focus on basic, translational and clinical investigations associated with ...read more
Related Journals
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements