Publications
Viksna J, Celms E, Opmanis M, Podnieks K, Rucevskis P, Zarins A, Barrett A, Neogi SG, Krestyaninova M, McCarthy MI, Brazma A, Sarkans U. PASSIM - an open source software system for managing information in biomedical studies. BMC Bioinformatics . 2007 Feb 9;8:52.
Brazma A, Krestyaninova M, Sarkans U. Standards for systems biology. Nat Rev Genet. 2006 Aug; 7(8):593-605. Review.
Assay and Data Management System (AIMS)
A web-based customizable system for experiment data submission and storage
Web-submission forms for collecting metadata from 7 high-throughput experimental platforms
Effective for bringing the experiment data and metadata in compliance with the “Minimum information about… ” requirements
Functionality extends to batch submission, batch editing and filtering
Interlinked with sample and patient data of PASSIM by a common system of identifiers
Proved to be successful in the EU MolPAGE project
Light-weight LIMS-like solution for projects in systems biology and translational medicine
Overview of AIMS
Assay and Data Management System (AIMS) serves as the central repository for genomic, transcriptomic, proteomic and metabolomic experimental data produced by the MolPAGE Consortium . The primary purpose of the repository is to collect complete datasets (both raw and analysed data) accompanied by essential metadata. For each of the analytical techniques we carried out the data submission requirement analysis and outlined the minimal lists of parameters which were to be captured about each assay. Where a standard data exchange format and/or reporting requirements were available (e.g., MIAME recommendations and MAGE-ML), the data submission was designed with consideration of the existing standards.
The basic design principles and software environment of AIMS are similar to those of the Sample Management System. The data repository uses the Oracle database and is accessible through a web-based interface. It has similar system configuration tools and navigation structure.
Data model The central classes and some attributes of the assay information management system are shown in the Figure . Central classes and some attributes of the assay information management system. Experimental parameters are assigned to assays and to groups of assays – Study Groups. Only aliquots captured within the Sample Information Management System can be used for creation of new assay entries
The AIMS ’s architecture is based on two entities: “Assays” and “Study groups”, to which different experimental parameters are assigned. The “Assay” term represents a measurement performed on a given aliquot (e.g. a single hybridization in microarray technology). Data and protocol files are referenced from this entry. The content of a particular assay entry is technology-specific and depends on the metadata parameters for this technology. Each assay-entry belongs to a “study group” - a number of acquisitions which according to the investigator should be stored and analyzed together due to the underlying experiment design. A vast choice of options for the metadata submission and editing ensures that the time needed for the formatting and uploading the results and metadata is kept to a minimum. Similarly to PASSIM , AIMS does not only provide the means for data collection but also facilitates some simple searches and report generation.
Download of Assay and Data Management System
Download AIMS - AIMS_1_0.zip
Installation of AIMS
Easy 3-step installation:
Download and install the latest version of Java
Download and install Apache Tomcat
Download the AIMS2.war and deploy it on the server
Contact Us
Skype: simbioms
Email: aims pie sourceforge punkts net
Institute of Mathematics and Computer Science
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Raina bulvaris 29 Riga, LV-1459, LATVIA
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European Bioinformatics Institute
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European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton, Cambridge CB10 1SD, UK
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