How do you balance code aesthetics with performance in your bioinformatics workflows?

Somehow, this fundamental practice gets lost when we move to computational biology

Alex and Lorena journey through the real-life challenges of building interactive single cell spatial data visualizations for large projects.

Alex and Lorena discuss a large bulk RNA-seq project that yielded lasting changes to their group’s everyday bioinformatics practices via the creation of parameterized R Markdown code templates.

From puzzlingly low mapping rates to unexpected cloud costs caused by unoptimized compute jobs, Lorena and Alex highlight how essential clear communication and bioinformatics-aware experimental design are to any successful project.

Alex and Lorena dive into the messy reality of processing single-cell RNA-seq data.