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Researchers have discovered a compound with the ability to induce long-lasting bronchorelaxation and prevent hyperreactivity in murine models of asthma.

Researchers at the University of Cardiff, UK have developed a Python based computational workflow that is tailored to the analysis of large volumes of data, with the ability to identify novel lipids.

Many in the clinical research industry are transitioning to cloud-based solutions for improved medical research and drug development efficiency. Big data analytics and distributed computing are two cloud-based techniques which can centralize computational and research tools.

To better understand the key challenges and pain points in the global laboratory market, Agilent commissioned Frost & Sullivan to carry out an independent survey of 700 scientists across the laboratory employee spectrum. Here we highlight a selection of the survey’s key findings.

With very few biomarkers having made it into clinical practice, we find out how some proteomics laboratories are using a factory-type set up to get more biomarkers into the clinic, faster.

The complexities of tumor genomes are rapidly being uncovered, but how they are regulated into functional proteomes remains poorly understood, until now.

Neuroscience has a data problem. Citizen neuroscientists can learn to analyze neuronal morphology data and overcome bottle-necks in data analysis.

Epigenetic phenomena such as paramutation, transgenic silencing, imprinting, and transposable element inactivation are prevalent in plants and potentially offer a huge resource for directed crop improvement.

We chat to Simon Burbidge, Director of Advanced Computing at the University of Bristol about their new 15,000 core, 600 Teraflop HPC system.

The introduction of powerful, but user-friendly, software designed to help ease workflow and help automate data analysis at ASMS’s annual meeting highlighted the importance of workflow solutions beyond instrumentation and consumables.