z-logo
open-access-imgOpen Access
Bioinformatic Tools for Inferring Functional Information from Plant Microarray Data: Tools for the First Steps
Author(s) -
Grier P. Page,
Issa Coulibaly
Publication year - 2008
Publication title -
international journal of plant genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.454
H-Index - 30
eISSN - 1687-5370
pISSN - 1687-5389
DOI - 10.1155/2008/147563
Subject(s) - computer science , section (typography) , microarray databases , annotation , information retrieval , software , variety (cybernetics) , data science , data mining , microarray analysis techniques , artificial intelligence , biology , biochemistry , gene , programming language , operating system , gene expression
Microarrays are a very powerful tool for quantifying the amount of RNA in samples; however, their ability to query essentially every gene in a genome, which can number in the tens of thousands, presents analytical and interpretative problems. As a result, a variety of software and web-based tools have been developed to help with these issues. This article highlights and reviews some of the tools for the first steps in the analysis of a microarray study. We have tried for a balance between free and commercial systems. We have organized the tools by topics including image processing tools ( Section 2 ), power analysis tools ( Section 3 ), image analysis tools ( Section 4 ), database tools ( Section 5 ), databases of functional information ( Section 6 ), annotation tools ( Section 7 ), statistical and data mining tools ( Section 8 ), and dissemination tools ( Section 9 ).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom