Omics Metadata Management Software (OMMS)
Year: 2015
Type: article
Abstract: UNLABELLED: Next-generation sequencing projects have underappreciated information management tasks requiring detailed attention to specimen curation, nucleic acid sample preparation and sequence production methods required for downstream data processing, comparison, interpretation, sharing and reuse. The few existing metadata management tools for genome-based studies provide weak curatorial frameworks for experimentalists to store and manage idiosyncratic, project-specific information, typically offering no automation supporting unified naming and numbering conventions for sequencing production environments that routinely deal with hundreds, if not thousands of samples at a time. Moreover, existing tools are not readily interfaced with bioinformatics executables, (e.g., BLAST, Bowtie2, custom pipelines). Our application, the Omics Metadata Management Software (OMMS), answers both needs, empowering experimentalists to generate intuitive, consistent metadata, and perform analyses and information management tasks via an intuitive web-based interface. Several use cases with short-read sequence datasets are provided to validate installation and integrated function, and suggest possible methodological road maps for prospective users. Provided examples highlight possible OMMS workflows for metadata curation, multistep analyses, and results management and downloading. The OMMS can be implemented as a stand alone-package for individual laboratories, or can be configured for webbased deployment supporting geographically-dispersed projects. The OMMS was developed using an open-source software base, is flexible, extensible and easily installed and executed. The OMMS can be obtained at http://omms.sandia.gov. AVAILABILITY: The OMMS can be obtained at http://omms.sandia.gov.
Source: Bioinformation
Authors: Martha OPerez-Arriaga, Susan Wilson, Kelly P Williams, Systems Biology, Sandia National Laboratories, Mail Stop 9291, Livermore, CA 94550, Joseph Schoeniger, Systems Biology, Sandia National Laboratories, Mail Stop 9291, Livermore, CA 94550, Russel L Waymire, Security Systems Analysis, Sandia National Laboratories, Mail Stop 0757, Albuquerque, NM 87123, Amy Jo Powell
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W2431245445