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Our modular cloud workflow provide expert genomic analysis instantly without the need for coding. All from your browser.
Containerised "biobloks" can be combined to create reproducible, complex workflows with seamless sharing of data and results.
This application can normalise and annotate transcriptional samples from multiple sequencing technologies with a click of a button.
Annotate and visualise pathways with ssGSEA, or estimate immune population for your samples.
This application is perfectly suited for lab data. Calculate fold change of genes between treatments or groups with differential gene expression analysis.
Integrate data from multiple disparate sources and plot the combined results. This application can merge and clean up data from multiple sources for the same patients - integrate data such as transcriptomics with metabolomics and proteomics.
Select "bloks" and run with single click
Analyse and Interpret
Integrate with other datasets or workflows in blokbio cloud
Share or publish data and analysis in a fully interactive report
Gold standard analysis applications
Developed by scientists for scientists, access best practise open-source tools from the research community for techniques such as Differential Gene Expression and Multi-Omic Data Integration
Bespoke Analysis
We can develop custom applications based on your analysis needs. Have the tools you use everyday in one place
Reduce your infrastructure requirements
No need for expensive computational infrastructure, leverage the infinite power of the cloud for your research
Share data instantly with collaborators
Bring together analysed data into a interactive report to give oversight of bioinformatics to the rest of your team
We are always interested in talking to potential users, customers and partners about genomic analysis bottlenecks.
We are always interested in talking to potential users, customers and partners about genomic analysis bottlenecks.
We are always interested in talking to potential users, customers and partners about genomic analysis bottlenecks.
We are always interested in talking to potential users, customers and partners about genomic analysis bottlenecks.
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