The Motion Sequencing algorithm developed by the lab has been applied to a host of questions and across many labs, but early on, adoption was slow because the underlying code was bespoke, academic and brittle. Over the past several years we have taken many steps to make access and use of the MoSeq algorithm easier – you don’t need to sign a license, the code is free to download and often updated, we have stood up user communities that propose improvements, catch bugs, and help each other. Much of this information lives at the MoSeq2 webpage and linked Github repo here. Sherry Lin, a senior computer scientist, did a hero’s work in making many of these changes, and many in the community have benefitted from her efforts. She has now (with help from friends in the lab) codified much of her wisdom about the depth MoSeq pipeline into this paper, recently published in Nature Protocols. Many thanks to Sherry for her work on this and on supporting MoSeq – as a community it is really hard to find ways to make academic code usable and sustainable by others, and Sherry has done a spectacular job at this – check out the paper to learn more!