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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.

DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Updated: Jul 4, 2026

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

Bioinformatic tools for inferring functional information from plant microarray data: tools for the first steps.

Grier P Page¹, Issa Coulibaly

¹Department of Biostatistics, University of Alabama at Birmingham, 35294-0022, USA. gpage@uab.edu <gpage@uab.edu>

International Journal of Plant Genomics

|June 6, 2008

Summary

This summary is machine-generated.

This review covers essential software and web tools for the initial analysis of microarray data, helping researchers manage large genomic datasets. It balances free and commercial options for various analytical steps.

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Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Microarrays enable large-scale RNA quantification but generate complex data.
Analyzing tens of thousands of genes presents significant analytical challenges.

Purpose of the Study:

To review and highlight essential software and web-based tools for the initial stages of microarray data analysis.
To provide a balanced overview of both free and commercial analytical solutions.

Main Methods:

Categorization of tools based on their function in the analysis pipeline.
Inclusion of tools for image processing, power analysis, and statistical analysis.
Review of databases for functional information and annotation, alongside dissemination tools.

Main Results:

Identification of various tools for image processing, power analysis, and statistical analysis.
Compilation of resources for functional databases and annotation.
Inclusion of tools for data dissemination and management.

Conclusions:

A curated selection of tools is available to address the analytical complexities of microarray studies.
These resources aid researchers in navigating the initial steps of genomic data interpretation.