BioData Management™ Services

BioData Management™ Services

Bioinformatics analysis requires the acquisition and management of vast amounts of diverse data. This data may be generated from different analysis methods such as gene expression and proteomic studies; or consist of physiological or symptomatic data. Taken together, this data forms a unique “biosignature” of the system under study. The acquisition and management of such large and diverse data sets can be burdensome for researchers. It can distract scientists from the real goals of their research and mistakes in data management slow the discovery process and introduce errors to the study. Seralogix can relieve this burden with intelligent tools and database storage solutions specialized for the management and curation of biosignature data. Seralogix’s BioData Management™ Services remove the tedious details of managing data, and tracking workflows; allowing scientists to concentrate on interpreting results and making discoveries.

BioData Management™ Services accepts data in multiple formats for the construction of your custom biosignature database. Gene expression data in many formats including GenePix Results (gpr), and Affymetrix (GCOS) results, along with XML-derived formats including MAML, and others commonly used for protein or physiological measurement data can be semi-automatically imported and merged into a single, custom database.

Numerous techniques are used to ensure that your data is secure and complete. The experimental data transfer process used is secure and confidential. During the upload, metadata (data categorization and details) is used to integrate all data files. Once the data is uploaded, Seralogix’s uses a sophisticated relational database to securely manage the data. Methods have been developed which automatically check for missing data and confirm its proper curation to ensure that the data set is complete. The BioData Management™ Service also includes workflow tracking for those using other BioSignature™ services. All data processing and algorithms are recorded in the sequence in which they are applied. This tracking capability not only verifies the order of processing steps, but demands consistent ordering of processing and analysis steps. The workflow tracking feature also serves as a historical record of the processes used for experimental continuity.

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