The agrigenomics industry incorporates genomic evaluation tools to increase crop yields and meat production to feed the world. Collecting and using phenotypic and genotype data allows companies to identify the plants and animals with the most promising breeding potential to achieve desirable traits. This process is extremely data intensive but involves at the same time a very critical quality control component. Additionally, in today’s operating environment the transferring of vast volumes of experimental data for central analysis has become a bandwidth and a security problem.

Genomic evaluation in breeding selection is based on accurate pedigree, and regular recording of traits in each generation. BC Platforms is in a unique position to offer valuable consultation and ready-made streamlined solutions for automated quality control and harmonization of data, and production-critical computational tasks. If you are considering taking on board genetic breeding values in your production, BC Platforms can help you to evaluate your needs for bandwidth, quality control, and computational resources. We have implemented several quality control workflows and automated calculations for breeding values using for example DMU and GBLUP (Genomic Best Linear Unbiased Prediction).



The core strength of BC operating system is in the ability to tie conventional database queries to complex statistical analysis workflows seamlessly – regardless of data volume or type of analysis. This core is a well-suited starting point for in-house development, and adapting established workflows for automation and parallelization. BC|DATA includes the foundation framework on top of which database administrators and bioinformaticians can build their own customized platforms, user interfaces, and community portals. It is therefore ideal for pioneering projects where very established or published tools do not yet exist, or are in need of optimization.

Pioneering data collections

    Flexible data models for discovery
    In-house method development
    Ability to integrate custom-built statistical tools and scripts

Community interfaces and portals

    Data schema for interacting with database
    API for user interface


BC|SAMPLE is a multipurpose sample tracking and process management tool. BC|SAMPLE supports plate and sample –oriented workflows, location tracking, plate creation and processing, and instrument interfaces. Sample accumulation and processing reports are easily created, and protocols can be exported for liquid handling, or other, instruments. BC|SAMPLE stores repeated sample processing results for easy viewing of sample status and history.

BC|SAMPLE communicates with BC|DATA, BC|CLIN, and BC|GENOME allowing sample data to be cross-referenced with subject information. BC|SAMPLE conforms to the same data security features and standards as BC|DATA, providing group, role and dataset-level permission control, and full trail of sample ownership and history.

Genomic sample collections and laboratories

    Provides structured sample registration schemes with automated IDs
    Synchronizes data input and editing with BC|DATA, when required
    Follows repeated sample processing and provides results for reporting
    Pipetting schemes and dilution calculations
    Comes with a light-weight label editor supporting commonly used barcode formats
    Reporting on sample processing and selected parameters


BC|GENOME provides a professional and efficient study management and analysis platform for all things genomic. An innovative problem splitting principle forms the backbone of the platform, and facilitates impressively efficient and fast workflows for complex genomic analyses and queries. BC|GENOME scales from the small association studies up to the largest existing genomic projects in terms of both data volume and lateral complexity. BC|GENOME supports over 30 peer reviewed academic analysis packages, imputing, in-house scripts like R and SAS, plus exposes an API for more advanced customizations for your bioinformaticians. BC|GENOME consists of multiple modules to manage an increasing number of data types – including NGS and ‘omics’ data.

BC|GENOME can harness the power of available computational resources, including local clusters, private or public cloud, and stand-alone calculation boxes. The modular nature of BC|GENOME makes it a powerful data integration hub for third party databases, instruments, international collaboration resources, and electronic health records.

GWAS, NGS, and other bioinformatics projects

    Small and massive scale correlations and other statistics
    Functional annotations
    Integration to phenotype data
    Plug in in-house algorithms and tools
    Integrate to existing calculation resources for faster, parallel analyses

Global data collections

    Global collaboration with assured data security
    Provides a powerful data management and analysis platform to all your research teams
    Federated data sourcing for geographically distributed data and distinct data formats (SQL, URLs, flat files)
    Centralized administration with flexibility to allow unhampered local data management
    Fully utilizes the local IT capacity


The powerful backbone of the BC|GENOME comes as its own package for those who require maximum flexibility, customizability and the worlds best performing genomic analysis platform, without the graphical help. This set of modules is ideal for high performance and quick delivery environments, where re-inventing the wheel makes no sense. Users are provided a full set of tools for the database, genomic data structures, and analysis job control, making it possible to integrate the massive genomic analyses with your in-house workflows and data manipulation steps.

Bioinformatics core facilities

    Provides the same data security and administration features as BC|GENOME
    Easy streamlining of flow of data and results within projects
    Script support for R, SAS, and Perl
    Export formats for SPSS, Excel, and analysis software like PLINK

Highly specialized bioinformatics projects

    Flexible and customizable for in-house workflows
    Plug-ins for external data sources i.e. SQL databases, URLs, and flat files
    High throughput of data, channeled directly to analysis

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