July 26, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Bioinformatics finds a route through high-throughput biological data

High-throughput generation of genomics data leads to huge quantities of information about the inner workings of the cell, but this requires the right kind of analytics for interpretation. Researchers at The Genome Analysis Centre (TGAC) and Jagiellonian University have used a new workflow to find links between metabolites and genes

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July 20, 2015 by Suzanne Elvidge in Big data, Data analytics, Data mining, Healthcare big data analysis

Using Twitter data to predict A&E visits in asthma

A model using big data from asthma-related tweets could help doctors target treatments and hospitals plan and make better use of resources by predicting asthma-related accident & emergency (A&E; emergency room) visits. The results are being published in the IEEE Journal of Biomedical and Health Informatics. Asthma is a common,

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July 12, 2015 by Suzanne Elvidge in Big data, Big data in research, Data analytics

Genetic analysis shows rare mutations to be more common in schizophrenia patients

Schizophrenia is known to have a genetic element, and some of the commonly-occurring mutations have been used to power a potential diagnostic. However, the inheritance pattern is complex, and rare coding mutations also play a part. Researchers mining through genetic variants have found that people with schizophrenia carry rather more

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July 05, 2015 by Suzanne Elvidge in Big data, Big data in research, Drug development

Big data finds mechanisms behind cartilage formation

Researchers at the University of Tokyo now understand more about the mechanisms behind cartilage formation by using big data to unpack the action of the Sox9 protein during cartilage formation. The research was published in Cell Reports. Cartilage formation is important in skeletal growth until puberty, and in the articulation

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