Bridging the Gap With Wet Lab Using R Shiny

Posted on Sat 04 May 2024 in how-to • Tagged with R, shiny, app, RNAseq, bioinformatics, data-visualization

How do you communicate results of an analysis? What tools do you use? Scientists that work in the wet lab are accustomed to firing up excel or some instrument-specific software and working with their own data. For genomics or other types of experiments in biology that result in large datasets …


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Efficiently Filtering While Reading Data Into R (With Python?!)

Posted on Wed 17 July 2019 in how-to • Tagged with bioinformatics, data-science, r, python, big-data

Working with large amounts of tabular data is a daily occurance for both bioinformaticians and data scientists. There's a lot the two groups can learn from each other (great future post material). However, I recently ran into a situation that I was sure had to be relatively common. Apparently it …


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