KCCG clinical genomics tool now available worldwide

KCCG has made its clinical genome filtering tool, Seave, open source to boost genomic healthcare, research and education worldwide.
18 September 2018

A major challenge of clinical genomic testing is working out which of the 4 million variants in a person’s genome could be the cause of their disease. This process is called genome filtering.

Seave is an online platform that supports and streamlines this complex process, built by Dr Velimir Gayevskiy and Dr Mark Cowley in KCCG’s Translational Genome Informatics program.

“Seave allows clinical staff to sift through the vast number of variants identified by modern sequencing to find the few causing disease,” said Dr Gayevskiy, Senior Bioinformatics Software Engineer.

The platform puts sequencing data into an easily searchable database then lets users apply filters including gene lists, genomic locations, frequency in control databases and predicted impact on gene function.

It is already used by clinicians and researchers to help them diagnose and research cancers, immune disorders, cardiac disorders, mitochondrial disease and intellectual disability.

“Data is stored securely, but also in a way that lets researchers and clinicians collaborate,” said Dr Gayevskiy. “Seave is accessible from anywhere, the only requirement is a web browser.”

“Seave has several novel features, such as allowing the investigation of large variants and maintaining its own regularly updated annotation databases so users always have the latest information,” said Dr Gayevskiy.

Seave also supports in depth investigation of the filtered variants by bringing together evidence from more than 20 online genomic databases and tools.

The KCCG has also developed SeavEd, an education tool for health professionals who want to learn more about clinical genomics. They can explore genomic data and solve clinical case studies, getting insight into genomic testing processes.

To learn more about Seave, see the recent paper in Bioinformatics or the recent Garvan news article. Those interested in using Seave can also access the source code and documentation.