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URIKA
[ bioworks ]
Biology by Design

We have the capabilities to accelerate and augment an organization’s capabilities by contributing in three areas:

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Known Science: Implementing our leading scientific Knowledge Graph to help teams better understand the known science and serve as a basis for rapid knowledge acquisition and hypothesis generation.

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Novel Science: Curating and harmonizing public and institutional multiomic data sets, from disparate sources, to catalog and make accessible novel biology and science contained in your recent experimental results.

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Scientific White Space: Conducting systematic experimentation with synthetic human biology to fill gaps in knowledge. Perturbing human cells, tissues and organoids reveals novel biological insights that can enable faster and more likely target discovery as well as eliminate the vagaries of animal research.

OUR OFFERINGS

Implementing Scientific Knowledge Graph

Urika [bioworks] provides one of the leading and most comprehensive scientific knowledge graphs in the industry. Derived from the corpus of scientific literature, patents, research grants and numerous public domain structured data sources, the base graph puts the world’s scientific knowledge at the fingertips of your discovery scientists. Augmented with millions causal relationships through advanced artificial intelligence and machine learning, the graph can be used to explore scientific mechanisms and pathways. 

Our graph is updated frequently to ensure currency with the published literature and is distributed as tabular data to ensure compatibility with your existing knowledge graph assets and technology stack. Our graph has been successfully implemented in the life sciences industry and recognized with numerous industry awards. We integrate our scientific knowledge graph with your existing institutional knowledge graph corpus as well as your experimental multi-omics data. This integration ensures that your scientists have access to the world’s knowledge, augmented with your proprietary institutional knowledgebase. We can also provide ongoing curation services to ensure that your knowledge graph grows with your organization’s ongoing experimentation and knowledge acquisition. We also engage with clients to build customized knowledge graphs to add new concepts, relationships and ontologies to the base graph.


Generating Scientific Insights

Urika [bioworks] provides a layer of dashboards, reports, visualizations, applications and algorithms on top of the scientific knowledge graph to accelerate knowledge exploration, access and generation of insights and hypotheses. Assets are use case specific across your discovery functions enabling activities such as novel target discovery, target landscaping, target liability assessment, target validation, elucidating disease biology, therapeutic area landscaping, modality landscaping, indication expansion, drug repurposing, identify combination therapies, identify patient subtypes and biomarker discovery. 

We also engage with clients to build customized dashboards, reports visualizations, applications and algorithms to support their individual needs. For clients who want to just skip to the answer, we leverage our expertise in target discovery to provide novel targets or build target assessment data packages for their targets of interest.


Harmonizing Multiomics Data

Multi-omics analysis is producing increasingly impactful elucidation of biology and it’s underlying mechanisms. As a result, organizations are generating multi-omics data in increasing volumes and expanding omics modalities (genomics, epigenetics, transcriptomics, proteomics, metabolomics, lipidomics, microbiomics, phenomics, etc). Most organizations however have difficulty harmonizing this growing complexity of data to produce timely, meaningful insights. Our team has been working for years with large pharmaceutical organizations as well as biotechs to organize and platform their multiomics data for rapid, economical access and impactful analysis.

We help clients platform and organize their historical multi-omics data, integrate metadata (experimental, subject/sample, analytical and technical), maintain data provenance and governance and ensure data is captured from their ongoing experimental activities. Our multi-omics platform architecture supports the dominant cloud technology stacks and is deployed with assets and accelerators including multiomics data models and frameworks for tiered storage, file management, role based security, data provenance, etc.

In addition to harmonizing and curating complex multi-omics data, we help clients build apps, analytical pipelines and algorithms that turn their data into biological knowledge and insights. Your multi-omics data represents your proprietary institutional knowledge of biology and we help turn that data into atlases that can be explored by scientists to accelerate and improve your discovery activities.


Access to New Synthetic Biology

Solid mastery of data and knowledge that already exists is a prerequisite for faster and improved target discovery. However, this mastery may only serve to uncover what is yet to be known. Our team works with clients to identify programs of experimentation that produce novel data to elucidate and inform novel biology. We perform this experimentation on human cells, tissues and organoids to prevent inevitable losses in translation from animal and prokaryotic models. Our organoids team is working to progress the state of the art in organoid science and we work with innovative providers of organoid technology to ensure organoids that closely mimic human biology. We also have the ability to model systems of interacting organoids on chips to mimic cross organ/cross tissue interactions and signalling. 

All of the human cells, tissues and organoids utilized in our synthetic biology group are sourced from established and ethical human collections and biorepositories.

Together with our laboratory partners, we can source and grow cells, tissues and organoids from both healthy and diseased subjects, perturb the biology genetically, epigenetically, environmentally or with specific exposures (eg. to treatments, chemicals, etc) and collect high dimensional multi-omic data to analyze the biology. We utilize our own scientific knowledge graph and multi-omic data and analysis platforms to process the data generated from the synthetic biology experimentation. We perform experimentation to support client activities in elucidation of disease biology, novel target discovery, toxicology, phenotypic screening and biomarker discovery.