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Organization of Genes

Organization of Genes

Organization of Genes

Organization of Genes

Genomics

Genomics

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...

Gene Families

Gene Families

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...

Gene Families

Gene Families

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...

Evolutionary Relationships through Genome Comparisons

Evolutionary Relationships through Genome Comparisons

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...

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Related Experiment Video

Updated: May 27, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

OGEE: an online gene essentiality database.

Wei-Hua Chen¹, Pablo Minguez, Martin J Lercher

¹European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.

Nucleic Acids Research

|November 15, 2011

Summary

This summary is machine-generated.

The Online GEne Essentiality (OGEE) database consolidates gene essentiality data from experiments and text mining. It highlights conditionally essential genes, aiding research into gene function and environmental interactions.

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Area of Science:

Genomics
Bioinformatics
Evolutionary Biology

Background:

Understanding gene essentiality is crucial for biological research.
Existing databases may lack comprehensive integration of diverse gene features and experimental data.

Purpose of the Study:

To create a centralized resource for gene essentiality information.
To integrate experimental data with gene features like expression, conservation, and evolutionary origins.
To identify and categorize conditionally essential genes.

Main Methods:

Data collection from large-scale experiments.
Integration of text-mining results for gene essentiality.
Organization of genes into datasets based on data sources.
Annotation of genes with features: expression, duplication, conservation, evolutionary origins, and developmental roles.

Main Results:

The Online GEne Essentiality (OGEE) database is established, containing experimentally validated essential and non-essential genes.
Genes with variable essentiality across datasets are identified as conditionally essential.
The database links gene essentiality to various biological features and evolutionary data.

Conclusions:

OGEE provides a valuable, integrated resource for studying gene essentiality.
The concept of conditional essentiality is highlighted, emphasizing gene-environment interactions.
Linked tools facilitate comparative analysis of gene essentiality and features.