As part of our “Data Leaders” Interview Series, Leo Whyte (Head of Marketing at Genestack) caught up with Saulo Alves Aflitos (Senior Researcher Bioinformatics at Bejo) to discuss his thoughts on the future of data management.
The idea of adopting a new platform to better catalogue and reuse your data can be intimidating and even scary. For this reason, many companies stick with their existing solution, which makes them less productive as life sciences data grow rapidly in volume and complexity. Here, we will give you the key steps to make the adoption journey smooth and how Genestack can help.
Pathway analysis is a crucial step in understanding disease biology, as perturbed pathways can point us to the key gene(s) that regulate critical disease processes and therefore have the potential to be viable drug targets. Pathways are easily interpretable and provide a link between the observed data, such as gene expression levels, and the mechanism of action of a specific disease.
With the COP26 conference well underway the focus of the world media is on how to reduce emissions and reach net zero carbon globally. As highlighted in a recent paper by EMBL the Life Sciences industry has a key role to play in the mission to prevent climate change.
Data visualization applications are only as good as the underlying data quality and the ability to query it. Focusing on data management and search services will give your organization the lever to build applications much faster and much more cheaply, to the point that they become disposable.