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 ).
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