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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Biases from Big Data: the prejudiced computer

In this article Professor Nasraoui’s work focuses on Big Data. She examines how Machine Learning can lead to unreliable and biased models, problems around explainability and whether increased personalisation contributes to polarisation of opinions.

Big Data and Machine Learning seem to be the modern buzzword answers for every problem. Areas such as healthcare, fraud prevention and sales are just a few of the places that are thought to benefit from self-learning and improving machines that can be trained on huge datasets. However, how carefully do we scrutinise these algorithms and investigate possible biases that […]

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