BioStrand Omics Analysis Blog:
Omics Data Analysis

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...

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...

Integrated Multi-Omics Analysis: From Data Normalisation to Biological Insight

The exponential generation of data by modern high-throughput, low-cost next generation...

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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...

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...

Convenience, Scalability, and Integration, in Three Flavours of BioStrand R&R

Omics data related to the genome, proteome and transcriptome is the very lifeblood of Life...

Making all omics data computable

At the beginning of the last decade, the Harvard Business Review described data science as the ...