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Managing and Analysing Big Data – Part II

This is the second of three blog posts about planning, managing and delivering a ‘big biodata’ project. Here, I share some of my experience and lessons learned in management and analysis – because you can’t have one without the other.Management1. Monitor progress – actively!You need a good structure to monitor progress, particularly if you’re going … Continue reading Managing and Analysing Big Data – Part II

Advice on Big Data Experiments and Analysis, Part I: Planning

Biology has changed a lotover the past decade, driven by ever-cheaper data gathering technologies: genomics, transcriptomics, proteomics, metabolomics and imaging of all sorts. After a few years of gleeful abandon in the data generation department, analysis has come to the fore, demanding a whole new outlook and on-going collaboration between scientists, statisticians, engineers and others … Continue reading Advice on Big Data Experiments and Analysis, Part I: Planning