New feature on our Software & Data repository page: Hot off the press! Featuring code from Hannah Hoff's 2025 PNAS paper, The Apportionment of Dietary Diversity in Wildlife.

This paper presented a potentially paradigm-shifting strategy to quantify and characterize the number of unique 'diet types' that exist within a population or community. The strategy is based on a simple machine-learning algorithm and described in the Hoff et al. 2025 PNAS paper, which used the community of migratory large mammalian herbivores -- such as bison and elk -- as a prime example.

Featured Software from the Kartzinel Lab: Geographic Coverage of DNA Barcodes. The inaugural code repository to be highlighted in our Featured Software section of the Software & Data page presents the Quarto Code Book published in association with our Molecular Ecology Review Paper, "Global Availability of Plant DNA Barcodes as Genomic Resources to Support Basic and Policy-Relevant Biodiversity Research" can be easily modified to evaluate the geographic coverage of other data sets. Although the featured code emphasizes geographic coverage from our work in Yellowstone National Park...

Over the past couple of years, a lot of things have changed. Some changes have improved how we share the software and data that we generate in the lab, necessitated in part by the growing popularity of our work. We recognized a substantial benefit to enhancing our commitment to providing easy access and open-source principles and therefore made it easier to find and access our most in-demand repositories across a variety of platforms that include GitHub, Zenodo, NCBI, BOLD, etc. You can now easily find links with descriptions from our main Software & Data landing page. Check it out!

Brown University's high performance computing cluster, called Oscar, is a keystone resource for research in the Kartzinel Lab. The resource and information about it are regularly updated; users may find the links provided in this post to be especially helpful as they are getting  started.