5 hours saved
It took over 5 hours to manually download and upload large genomic files for every batch of 16 patients we ran.
A managed Genomic Information Management System (GIMS) for clinical labs; the data infrastructure genomic tests run on.
Built alongside labs and integrated with the tools labs already use
For many clinical labs, genomic data issues look like: months or years to get a new bioinformatics pipeline working or to set up a new tertiary tool, the server crashing and cases getting thrown to the back of the queue, data getting stuck coming off the sequencing machine, or pipelines taking days to run because there's not enough compute.
It can also be relentless manual work dragging and dropping files, running scripts to reformat, archive or retrieve them, or days spent pulling together another large validation report.
That's why we built Genomical; a modern solution that reimagines how genomic data can be managed by labs.
Genomical is a GIMS; a Genomic Information Management System. Where a LIMS manages laboratory sample information, a GIMS manages the genomic data workflow itself: running bioinformatics pipelines, integrating analysis tools, and moving and storing large genomic data files.
A mature, enterprise-grade, secure, auditable, scalable and supported GIMS is what lets a lab safely reduce turnaround times, increase capacity and bring on new tests faster. It's genomics in a busy pathology lab reimagined and modernised.
Find out more about Genomical →
Genomical addresses the challenges of:
End-to-end automation, reliable data transfers and centralised logging replace manual file handling, data entry, script-running, excessive documentation and second-checking steps. Less intervention, fewer errors, faster results. Run more tests with the same team.
Genomical is pre-integrated with a range of variant analysis tools that labs already use so you can move faster. Enjoy the freedom to choose — adopt, switch or run several tools — avoid vendor lock-in and choose the most cost-effective tool that's right for a given test.
Even the most complex pipelines run reliably in Genomical. Any batch size, in a couple of hours rather than multiple days. Your pipelines, configurable, continuously maintained and monitored so that they work today and they'll work tomorrow.
Genomical has deep expertise built into the platform across bioinformatics, cloud computing, genomics and digital health, so you don't need to hire to grow.
Unlock new value from re-analysis of genomic data. Harness the untapped potential of operational and workflow data for performance insights and real-time tracking.
Rather than the distraction and ongoing challenges of building in-house solutions to data management problems, Genomical solves these off-the-shelf. This frees up the entire lab to focus on genomics, to innovate more and keep at the forefront of the field.
It's more challenging than you think.
It's complicated to integrate with multiple tools to have a solution that is agnostic and can handle all the patterns in a generic way. You need to do the right steps, for the right data, in the right order, with the right credentials, for the right tools.
— IT professional
Many labs spend the best part of a year setting up a new tertiary tool. However, at the end of it all, often there's still a pile of admin that someone in the lab has to own. Keeping gene lists up to date, chasing down incompatible HPO terms, or other mysterious reasons why it worked yesterday but not today.
Then there's the complexity, uncertainty and downtime when issues arise. A help desk ticket might take days of back and forth before everyone actually understands what the real cause is, let alone a fix.
A proper integration anticipates where things can break, validates before kicking off a job, proactively keeps things in sync and can locate the root cause of issues faster.
If a lab has their own bioinformaticians, that's amazing because not every lab does. Even if they do, bioinformatics is still a real challenge; and it's not necessarily because of bioinformatics skills. It's more likely because of failing servers, competition for compute, or having to wrangle scripts that someone else wrote.
Bioinformaticians are spending more time on infrastructure and compliance than on the bioinformatics they were hired to do. And it's only getting harder.
Pipelines are now being developed by global teams of specialists and are so advanced, complex, and computationally intensive, that it can take months for a lab to get them working, let alone be operationally stable and accreditation ready.
A single genomics test can generate as much data as binge-watching Netflix movies for an entire month.
See how Genomical can make a difference in your lab.