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What’s been going on in the life sciences world this week? Check out Week in Brief for an overview of the biggest news from ...
The sequencing landscape has evolved rapidly over the last two decades, and innovation shows no sign of slowing down.
Written by Arpita Kulkarni (Director of the Functional Genomics and Bioinformatics Core at HMS/BIDMC). Across the life sciences, a quiet anxiety is growing: what is the role of the experimental ...
A quick Google search for genetic testing will point you towards all kinds of at-home kits, promising to reveal the secrets within your genome. But how accurate are these kits, and should you really ...
Next generation sequencing has become a fundamental approach in many aspects of life science research and impressive innovation continues to push the boundaries even further. We are pleased to ...
This feature was written using content from out recenty published Proteomics Playbook, which you can download for FREE here. The sequence of a protein is critical as it largely dictates the protein’s ...
Analysis of proteins is not simple. Unlike DNA, there is incredible diversity in the concentration and variety of proteins created by a cell at any given moment. In our Proteomics Playbook we outline ...
The microbiome is made of up trillions of microorganisms, each playing a crucial role – good or bad – in our health and wellbeing. Varying from one organ to another, and between every individual, the ...
All our webinars are free to attend. Join us for content focusing on: single cell, liquid biopsy, cancer genomics, multi-omics, microbiome and more!
Next generation sequencing (NGS) is a powerful tool for uncovering a patient’s inherited susceptibility to cancer, paving the way for more effective prevention strategies. However, hereditary cancer ...
Why is sample preparation important? Increasingly, NGS is being asked to handle more challenging samples, from diverse origins, of lower quality or of small size. Before these samples can be analyzed, ...
Pinpointing pathogenic mutations from large, complex datasets can be difficult, time consuming and somewhat overwhelming. So, how can you best streamline your genomic analysis, to make it quicker, ...