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MIMAS 3.0 is a Multiomics Information Management and Annotation System

BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Seq...

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Autores principales: Gattiker, Alexandre, Hermida, Leandro, Liechti, Robin, Xenarios, Ioannis, Collin, Olivier, Rougemont, Jacques, Primig, Michael
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694794/
https://www.ncbi.nlm.nih.gov/pubmed/19450266
http://dx.doi.org/10.1186/1471-2105-10-151
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author Gattiker, Alexandre
Hermida, Leandro
Liechti, Robin
Xenarios, Ioannis
Collin, Olivier
Rougemont, Jacques
Primig, Michael
author_facet Gattiker, Alexandre
Hermida, Leandro
Liechti, Robin
Xenarios, Ioannis
Collin, Olivier
Rougemont, Jacques
Primig, Michael
author_sort Gattiker, Alexandre
collection PubMed
description BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Sequencing (UHTS) have been harnessed to study these phenomena with unprecedented precision. As a consequence, the extensive bioinformatics environment available for array data management, analysis, interpretation and publication must be extended to include these novel sequencing data types. DESCRIPTION: MIMAS was originally conceived as a simple, convenient and local Microarray Information Management and Annotation System focused on GeneChips for expression profiling studies. MIMAS 3.0 enables users to manage data from high-density oligonucleotide SNP Chips, expression arrays (both 3'UTR and tiling) and promoter arrays, BeadArrays as well as UHTS data using MIAME-compliant standardized vocabulary. Importantly, researchers can export data in MAGE-TAB format and upload them to the EBI's ArrayExpress certified data repository using a one-step procedure. CONCLUSION: We have vastly extended the capability of the system such that it processes the data output of six types of GeneChips (Affymetrix), two different BeadArrays for mRNA and miRNA (Illumina) and the Genome Analyzer (a popular Ultra-High Throughput DNA Sequencer, Illumina), without compromising on its flexibility and user-friendliness. MIMAS, appropriately renamed into Multiomics Information Management and Annotation System, is currently used by scientists working in approximately 50 academic laboratories and genomics platforms in Switzerland and France. MIMAS 3.0 is freely available via .
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spelling pubmed-26947942009-06-11 MIMAS 3.0 is a Multiomics Information Management and Annotation System Gattiker, Alexandre Hermida, Leandro Liechti, Robin Xenarios, Ioannis Collin, Olivier Rougemont, Jacques Primig, Michael BMC Bioinformatics Database BACKGROUND: DNA sequence integrity, mRNA concentrations and protein-DNA interactions have been subject to genome-wide analyses based on microarrays with ever increasing efficiency and reliability over the past fifteen years. However, very recently novel technologies for Ultra High-Throughput DNA Sequencing (UHTS) have been harnessed to study these phenomena with unprecedented precision. As a consequence, the extensive bioinformatics environment available for array data management, analysis, interpretation and publication must be extended to include these novel sequencing data types. DESCRIPTION: MIMAS was originally conceived as a simple, convenient and local Microarray Information Management and Annotation System focused on GeneChips for expression profiling studies. MIMAS 3.0 enables users to manage data from high-density oligonucleotide SNP Chips, expression arrays (both 3'UTR and tiling) and promoter arrays, BeadArrays as well as UHTS data using MIAME-compliant standardized vocabulary. Importantly, researchers can export data in MAGE-TAB format and upload them to the EBI's ArrayExpress certified data repository using a one-step procedure. CONCLUSION: We have vastly extended the capability of the system such that it processes the data output of six types of GeneChips (Affymetrix), two different BeadArrays for mRNA and miRNA (Illumina) and the Genome Analyzer (a popular Ultra-High Throughput DNA Sequencer, Illumina), without compromising on its flexibility and user-friendliness. MIMAS, appropriately renamed into Multiomics Information Management and Annotation System, is currently used by scientists working in approximately 50 academic laboratories and genomics platforms in Switzerland and France. MIMAS 3.0 is freely available via . BioMed Central 2009-05-18 /pmc/articles/PMC2694794/ /pubmed/19450266 http://dx.doi.org/10.1186/1471-2105-10-151 Text en Copyright © 2009 Gattiker et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database
Gattiker, Alexandre
Hermida, Leandro
Liechti, Robin
Xenarios, Ioannis
Collin, Olivier
Rougemont, Jacques
Primig, Michael
MIMAS 3.0 is a Multiomics Information Management and Annotation System
title MIMAS 3.0 is a Multiomics Information Management and Annotation System
title_full MIMAS 3.0 is a Multiomics Information Management and Annotation System
title_fullStr MIMAS 3.0 is a Multiomics Information Management and Annotation System
title_full_unstemmed MIMAS 3.0 is a Multiomics Information Management and Annotation System
title_short MIMAS 3.0 is a Multiomics Information Management and Annotation System
title_sort mimas 3.0 is a multiomics information management and annotation system
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2694794/
https://www.ncbi.nlm.nih.gov/pubmed/19450266
http://dx.doi.org/10.1186/1471-2105-10-151
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