MIMAS 3.0 is a Multiomics Information Management and Annotation System
Overview
Authors
Affiliations
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 http://multiomics.sourceforge.net/.
Systems Biology to Support Nanomaterial Grouping.
Riebeling C, Jungnickel H, Luch A, Haase A Adv Exp Med Biol. 2017; 947:143-171.
PMID: 28168668 DOI: 10.1007/978-3-319-47754-1_6.
A digital repository with an extensible data model for biobanking and genomic analysis management.
Izzo M, Mortola F, Arnulfo G, Fato M, Varesio L BMC Genomics. 2014; 15 Suppl 3:S3.
PMID: 25077808 PMC: 4083403. DOI: 10.1186/1471-2164-15-S3-S3.
Systems toxicology: from basic research to risk assessment.
Sturla S, Boobis A, FitzGerald R, Hoeng J, Kavlock R, Schirmer K Chem Res Toxicol. 2014; 27(3):314-29.
PMID: 24446777 PMC: 3964730. DOI: 10.1021/tx400410s.
Hermida L, Poussin C, Stadler M, Gubian S, Sewer A, Gaidatzis D BMC Genomics. 2013; 14:514.
PMID: 23895370 PMC: 3750322. DOI: 10.1186/1471-2164-14-514.
Data management strategies for multinational large-scale systems biology projects.
Wruck W, Peuker M, Regenbrecht C Brief Bioinform. 2012; 15(1):65-78.
PMID: 23047157 PMC: 3896927. DOI: 10.1093/bib/bbs064.