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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...

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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Updated: Dec 14, 2025

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

Plant functional genomics: opportunities in microarray databases and data mining.

Gavin C Kennedy¹, Iain W Wilson²

¹CSIRO Mathematical and Information Sciences, GPO Box 664, Canberra, ACT 2601, Australia. Corresponding author;

Functional Plant Biology : FPB

|July 22, 2020

Summary

This summary is machine-generated.

Sophisticated microarray databases are crucial for plant functional genomics. Data mining these resources enables discovery of gene functions and cellular processes not apparent from individual experiments.

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Last Updated: Dec 14, 2025

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

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Comprehensive Workflow for the Genome-wide Identification and Expression Meta-analysis of the ATL E3 Ubiquitin Ligase Gene Family in Grapevine

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A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

A Bioinformatics Pipeline to Accurately and Efficiently Analyze the MicroRNA Transcriptomes in Plants

Published on: January 21, 2020

Area of Science:

Plant biology
Genomics
Bioinformatics

Background:

High-throughput gene expression profiling via microarrays offers powerful insights into plant gene function and cellular processes.
Bioinformatics tools have advanced for gene expression data interpretation, but large-scale data exploitation requires sophisticated database repositories.

Purpose of the Study:

To highlight the critical role of microarray databases in plant functional genomics.
To emphasize the necessity of data mining for uncovering hidden gene functions and biological processes.
To advocate for the integration of advanced database technologies in plant research.

Main Methods:

Utilizing bioinformatics tools for the interpretation of large-scale gene expression data.
Implementing data mining techniques on microarray experiment repositories.
Analyzing and linking expression profiles with experimental factors.

Main Results:

Data mining of microarray databases allows for the discovery of gene functions and cellular processes not evident from smaller-scale analyses.
In-silico analysis of integrated expression data is essential for designing future experiments and interpreting novel results.

Conclusions:

Microarray databases and their development are as vital as data capture and analysis tools for plant functional genomics.
Plant biologists must embrace microarray database technology and biological data integration to realize significant discoveries and advance the field.