As the size of experimental array data sets increases—both in sample number and chip complexity—the time required to calculate array sample statistics and visually interrogate clusters becomes prohibitive. To minimize this time, large array data sets should be pre-filtered prior to analysis.
Beeline Software offers flexible filtering capabilities to reduce experimental array data size. The software pre-filters large data sets, reducing the overall data volume by eliminating any poorly performing loci (such as those with low signal intensity) and non-relevant variants across all samples. Filtered data can then be imported directly into GenomeStudio Software for analysis. In short, Beeline offers a direct path to data analysis for large array experiments.
Enables automatic calculation of sample statistics and allele calls.
Offers flexible user-defined parameters to select/deselect samples and loci for targeted downstream analysis.
Generates text document output of numerous report formats.
Works directly with Infinium data output and creates projects for direct import into GenomeStudio Software.
Generates charts for visualization of QC performance that can be saved and viewed outside the software.
Supports polyploid cluster data sets.
After using Beeline software, Prenetics saw a significant reduction in analysis time for its genotyping services.
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Learn more about the key functionality and features of Beeline Software. Find out how to manage and export data and create reports.
See how Beeline software augments GenomeStudio and provides a direct path to data analysis for large microarray genotyping experiments.