Efficient and flexible data analysis

BC|GENE and BC|SNP Suite solutions provide a user-friendly web browser interface for working with the analysis programs of your choice. Additionally, the system offers a flexible method for generating workflows for high-performance, parallel data analysis.

Through the web browser interface, you can combine data from multiple sources, filter individuals or SNPs based on various criteria, such as quality, location, and previous analysis results. Data analysis is further enhanced by automated procedures for data format conversions and speed optimized analysis workflows.

The new generation of our BC|SNPmax and BC|GENE products offer full support for performing GWAS 2.0 studies, including automated workflows for imputation tools. Read also our white paper about Performing GWAS 2.0 using the BC|SNPmax data management system.

Special functions and features to tackle the challenge of managing massive amounts of data

BC|GENE and BC|SNP Suites offer functions and features to manage and analyze massive data amounts. Our data compression methods minimize disk space consumption and speed up the analysis process. Analysis runs containing a large number of SNPs can be automatically divided into multiple smaller tasks that can be run parallel. A built-in queue system interleaves large database transactions and calculation tasks, enabling efficient use of calculation capacity.

Our solutions support the use of cloud computing technologies, making it possible to rent calculation capacity on demand. To read more about cloud computing, please take a look of our white paper about using cloud computing for parallel analysis of genome-wide data sets.

Support for the best analysis methods developed in academia

BC|GENE and BC|SNP data management solutions facilitate the use of the best analysis programs developed in academia.

The supported analysis methods include the following

• Data quality checks and descriptive statistics
• Association and linkage disequilibrium
• Imputing (in-silico-genotyping) and probabilistic genotypes
• Association using probabilistic genotypes
• Population stratification
• TDT and family based association
• Epistasis
• Haplotyping
• Linkage analysis
• Result visualization, browsing and filtering
• Gateway to genome browsers
• Scripting (R, SASŪ, Perl and other languages)
• Pedigree visualization
• Export to SPSS and STATA

Please see the detailed list of supported methods with references for further information.

Adding custom software components

Our data management systems provide interfaces for R, SAS, and other scripting languages. With these tools it is easy to integrate locally developed algorithms or not yet supported analysis software to the system. Additionally ODBC can be used to connect external programs directly to the database.