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.

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

BC|GENE and BC|SNP Suites offer special functions and features to tackle the challenge of massive data amounts. An advanced built-in queue system interleaves large database transactions and calculation tasks, enabling efficient use of calculation capacity.

Analysis runs containing a large number of SNPs can be automatically divided into multiple smaller tasks, the results of which the system then collates into one file.

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
  • Association and linkage disequilibrium
  • Population stratification
  • Haplotyping
  • Scripting (R, SAS®)
  • Imputing (in-silico-genotyping)
  • Gateway to genome browsers
  • Linkage analysis
  • TDT and family based association
  • Epistasis
  • Data exports to SPSS®, STATA®, Excel®
Please see the detailed list of Supported methods with references for further information.

Adding custom software components

Additional analysis programs of the customer's own applications can be integrated using the Application Programming Interface (API) of the system.

Researchers can also run various statistical analysis methods using R scripts.
Data can also be easily exported to a statistical analysis or spreadsheet program and accessed directly by programs supporting an ODBC connection.