During my internship this past summer, I spent time surveying the many existing trajectory inference (TI) methods. TI methods leverage data from thousands of single cells to reconstruct lineage paths and infer the order of cells along developmental trajectories.
As promised, this is part 2 of the analyzing single-cell data series. In this post I intend to discuss Seurat: an R toolkit designed for the exploration of single-cell expression data.
This past summer, I was immersed in the world of single-cell genomics - a completely new field to me. With this came learning not only how data were experimentally collected, but also how to computationally process these data.