<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Animations - Tag -</title><link>https://nerds-of-a-feather.github.io/tags/animations/</link><description>Animations - Tag -</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Aalok Varma and Anagha Varma</copyright><lastBuildDate>Mon, 07 Sep 2026 18:59:30 -0700</lastBuildDate><atom:link href="https://nerds-of-a-feather.github.io/tags/animations/" rel="self" type="application/rss+xml"/><item><title>BTW, a post about the BWT (Burrows-Wheeler Transform)</title><link>https://nerds-of-a-feather.github.io/library/burrows-wheeler-transform/</link><pubDate>Mon, 07 Sep 2026 18:59:30 -0700</pubDate><author>Aalok Varma and Anagha Varma</author><guid>https://nerds-of-a-feather.github.io/library/burrows-wheeler-transform/</guid><description>&lt;p>Modern biology and computer science are deeply intertwined. Life sciences research produces large amounts of data of many kinds – DNA sequences, protein structures, microscopy images, animal behaviour videos, bird songs, recordings of electrical activity in neurons, and much more. Handling and extracting information from these data requires more than just a casual familiarity with a computer, and we are now in an era where coding is becoming an essential skill for biologists. Yet, schools and colleges propagate a false dichotomy between biology and math/computer science, with curricula forcing students to choose between the two. What’s worse is that even when they don’t, biologists are taught computer science using exactly the same traditional resources and exercises as computer scientists.&lt;/p></description></item></channel></rss>