Open-source bioinformatic solutions for ‘Big Data’ analysis

In this research article: Drs Griffin and Jagtap’s research focuses on the Galaxy-P project – developing, testing, optimising and applying multi-omics software tools to a variety of biological questions, including cancer and big data research.

Drs Tim Griffin and Pratik Jagtap along with the Galaxy-P team from the University of Minnesota are working to develop workflows on an open source platform for the analysis of multi-omic data. They are currently focusing on using a Galaxy-based framework to investigate the integration of genomic datasets with mass spectrometry-based ‘omics’ data. But in the long term, they aim […]

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Computational methods of researching cancer treatments

In this research article: Dr Haibe-Kains’ research focuses on the computational integration of high dimensional molecular data to analyse multiple facets of carcinogenesis.

Artificial Intelligence (AI) and machine learning algorithms have the potential to bring substantial advances in the fields of research exploring complex diseases and trying to identify effective treatments. Dr Benjamin Haibe-Kains, working at The Princess Margaret Cancer Centre in Toronto, has spent over a decade developing machine learning tools and databases that could help scientists gain a better understanding of […]

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