{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5304c0f09935476aa66b5c05da935a2a\" frameborder=\"0\" width=\"1664\" height=\"1248\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1248,"width":1664,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1248,"thumbnail_width":1664,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5304c0f09935476aa66b5c05da935a2a-00001.gif","duration":89.89999999999998,"title":"Co-pilot for Single-cell RNA Sequence Analysis","description":"In this video, I introduce a co-pilot tool that I built for a regenerative medicine research lab at Harvard Medical School. The tool is designed to assist with single-cell RNA sequence analysis. I explain how it works, including how to plug in your unfinished analysis, select a language model, preview your analysis, and generate next steps. The tool queries a vector database of available methods on single-cell analysis and suggests the most relevant ones. I specifically focus on batch correction and provide guidance on using two relevant methods: scRNASequest and cytocipher."}