TLDR - Check out this github repo for a (still really wordy) example: polyglot_jupyter_example

If you're anything like me, and there are probably tens of you out there, you enjoy working in multiple programming languages for your bioinformatics/data science work. Perhaps you love the tidyverse R ecosystem for data manipulation …

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In contrast to the zen of python there are actually many ways to handle sequence data in Python. There are several packages on PyPI that provide parsers for sequence formats like .fastq and .fasta. I've never bothered with these, including the oft-used Biopython. I vaguely remembered Biopython being slower than …

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Over the past few years the use of workflow managers in genomics and bioinformatics has grown greatly. This is a great thing for the field and adds to our ability to perform reproducible analyses, especially for pipelines with many steps. These are common in bioinformatics, but prior to the use …

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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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