Academic software has a bad reputation for being poorly maintained. We discuss our experiences maintaining our own bioinformatics tools and the systemic issues that influence the quality of academic software.

Topics * Lessons we've learned from maintaining our 8+ year old tools: Ginkgo, Assemblytics, SplitThreader, Ribbon. * Discussing career implications and systemic incentives of maintaining academic software. * How we build bioinformatics web apps today versus when we first started out. * Supporting users when you're not even in that field anymore. * Lots of embarrassing stories of bad software engineering in bioinformatics tools.

Join the discussion in the comments on YouTube: https://youtu.be/eyd7Cb7ueNg * For academics, do any other metrics get considered for your tools other than citations? * How do you cite tools you used that you didn't mention in the methods, e.g. samtools, parallel, IGV. * Do any programs match up volunteer experienced software engineers with scientists writing software?

Where to find us online: https://omgenomics.com

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