The challenges of cloud-first omics
The increasing availability of a range of powerful, specialized and affordable cloud-based services...
BioStrand Omics Analysis Blog:
Omics Data Analysis
The BioStrand Interviews: Meet Sébastien Lemal
Advancing our understanding of biology is the only way we will boost developments in biotechnology...
FAIRify your data: A guiding principle
There is an increase in speed, reliability and cost-effectiveness of high throughput sequencing...
Bring Meaning to the Chaotic Space of Omics & Text
Learn how to integrate and normalise omics and biomedical text data into a single data model/frame...
New release of Retrieve & Relate now available
BioStrand Retrieve & Relate (R&R), the hyper-scalable, multi-database, zero-code, self-service...
Intelligent Multi-Omics Analysis: the Power of AI/ML
In our previous blog on integrated multi-omics, we overviewed the need for this increase in scale,...
Integrated Multi-Omics Analysis: From Data Normalisation to Biological Insight
The exponential generation of data by modern high-throughput, low-cost next generation sequencing...
The SaaSification of Bioinformatics
In our previous blog post – ‘The Imperative for Bioinformatics-as-a-Service’ – we addressed the...
The Imperative for Bioinformatics-as-a-Service
I recently came across a 2009 article titled A Quick Guide for Developing Effective Bioinformatics...
BioStrand Webinar: HYFTs™ to Make Data Science More Convenient, More Scalable, and More Complete
BioStrand, a bioinformatics start-up company with a revolutionary methodology for identifying...
Democratising Omics Data Analysis with Citizen Data Scientists
“Which would you rather have: a newly-minted Ph.D. data scientist or 20 people who can conduct...