MAGIC Tool: Integrated microarray data analysis

L. J. Heyer; D. Z. Moskowitz; J. A. Abele; P. Karnik; D. Choi; A. M. Campbell; E. E. Oldham; B. K. Akin

doi:10.1093/bioinformatics/bti247

MAGIC Tool: Integrated microarray data analysis

L. J. Heyer, D. Z. Moskowitz, J. A. Abele, P. Karnik, D. Choi, A. M. Campbell, E. E. Oldham, B. K. Akin

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

Summary: Several programs are now available for analyzing the large datasets arising from cDNA microarray experiments. Most programs are expensive commercial packages or require expensive third party software. Some are freely available to academic researchers, but are limited to one operating system. MicroArray Genome Imaging and Clustering Tool (MAGIC Tool) is an open source program that works on all major platforms, and takes users 'from tiff to gif'. Several unique features of MAGIC Tool are particularly useful for research and teaching.

Original language	English (US)
Pages (from-to)	2114-2115
Number of pages	2
Journal	Bioinformatics
Volume	21
Issue number	9
DOIs	https://doi.org/10.1093/bioinformatics/bti247
State	Published - May 1 2005
Externally published	Yes

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

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Cite this

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title = "MAGIC Tool: Integrated microarray data analysis",

abstract = "Summary: Several programs are now available for analyzing the large datasets arising from cDNA microarray experiments. Most programs are expensive commercial packages or require expensive third party software. Some are freely available to academic researchers, but are limited to one operating system. MicroArray Genome Imaging and Clustering Tool (MAGIC Tool) is an open source program that works on all major platforms, and takes users 'from tiff to gif'. Several unique features of MAGIC Tool are particularly useful for research and teaching.",

author = "Heyer, {L. J.} and Moskowitz, {D. Z.} and Abele, {J. A.} and P. Karnik and D. Choi and Campbell, {A. M.} and Oldham, {E. E.} and Akin, {B. K.}",

note = "Funding Information: We thank many users and workshop attendees for useful suggestions about MAGIC Tool, and gratefully acknowledge support from NSF DBI-0099720 and Davidson College.",

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doi = "10.1093/bioinformatics/bti247",

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T2 - Integrated microarray data analysis

AU - Heyer, L. J.

AU - Moskowitz, D. Z.

AU - Abele, J. A.

AU - Karnik, P.

AU - Choi, D.

AU - Campbell, A. M.

AU - Oldham, E. E.

AU - Akin, B. K.

N1 - Funding Information: We thank many users and workshop attendees for useful suggestions about MAGIC Tool, and gratefully acknowledge support from NSF DBI-0099720 and Davidson College.

PY - 2005/5/1

Y1 - 2005/5/1

N2 - Summary: Several programs are now available for analyzing the large datasets arising from cDNA microarray experiments. Most programs are expensive commercial packages or require expensive third party software. Some are freely available to academic researchers, but are limited to one operating system. MicroArray Genome Imaging and Clustering Tool (MAGIC Tool) is an open source program that works on all major platforms, and takes users 'from tiff to gif'. Several unique features of MAGIC Tool are particularly useful for research and teaching.

AB - Summary: Several programs are now available for analyzing the large datasets arising from cDNA microarray experiments. Most programs are expensive commercial packages or require expensive third party software. Some are freely available to academic researchers, but are limited to one operating system. MicroArray Genome Imaging and Clustering Tool (MAGIC Tool) is an open source program that works on all major platforms, and takes users 'from tiff to gif'. Several unique features of MAGIC Tool are particularly useful for research and teaching.

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MAGIC Tool: Integrated microarray data analysis

Abstract

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