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Genome Annotation and Assembly

Genome Annotation and Assembly

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.

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...

Structure of a Gene

Structure of a Gene

A gene is the fundamental unit of heredity. Every individual has two copies of each gene, one inherited from each parent. Although most people contain the same genes, there is a small fraction that is slightly different amongst people. A gene with a small difference in its sequence of DNA bases forms different alleles, contributing to different phenotypes.
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...

Organization of Genes

Organization of Genes

Organization of Genes

Organization of Genes

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Related Experiment Video

Updated: Jun 18, 2026

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Visual annotation of the gene database.

Jing Wen¹, Xishu Wang, Warren Kibbe

¹Department of Bioengineering, University of Illinois at Chicago, Chicago, IL 60607, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|December 8, 2009

Summary

This summary is machine-generated.

GeneGIF offers a novel visual annotation for gene functions, improving data accessibility. This Web 2.0 approach enhances gene information discovery for researchers.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Current gene annotations in NCBI databases rely on text-based Gene Reference Into Function (GeneRIF).
Visual presentation of information can be more effective under time and space constraints.

Purpose of the Study:

To introduce GeneGIF (Gene Graphics Into Function), a novel genome annotation method.
To leverage Web 2.0 technologies for enhanced gene function visualization.

Main Methods:

Developed GeneGIF, a system for graphical gene annotation.
Implemented a modular design for easy integration into existing databases.

Main Results:

GeneGIF allows users to quickly scan gene functions via interactive graphs.
Users can access detailed information by navigating from graphical overviews to specific gene pages.

Conclusions:

GeneGIF provides a more efficient and accessible way to explore gene functions compared to traditional text-based methods.
The modular design facilitates widespread adoption across various genomics and proteomics databases.