Practical exploration of morphological profiling data (Morphological profiling, part 2)

A practical discussion of how profiling experiments are analyzed by bioimage analysts using Morpheus. If you want to better understand the theory and the data treatment that takes place prior to this video, please watch part 1 at https://youtu.be/0nkYDeekhtQ Helpful links (for both videos): The written tutorial, including all the data shown in parts 1 and 2 - https://github.com/broadinstitute/BBBC021_Morpheus_Exercise How to determine if your segmentation is "good enough" - https://carpenter-singh-lab.broadinstitute.org/blog/when-to-say-good-enough A blog post on considerations of normalization - https://carpenter-singh-lab.broadinstitute.org/blog/how-normalize-cell-painting-data The CellPainting protocol - https://www.biorxiv.org/content/10.1101/2022.07.13.499171v1 A multi-lab paper describing morphological profiling methods - https://www.nature.com/articles/nmeth.4397 The "Dinosaurus Dozen", aka why you should always directly examine your data in addition to doing high-level exploration in tools like this - https://www.autodesk.com/research/publications/same-stats-different-graphs An introduction to t-SNE clustering (video 2) https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding The original paper describing the data set used in both videos - https://slas-discovery.org/article/S2472-5552(22)07576-1/fulltext The paper describing Cell Painting discovering novel pathway biology (video 1) - https://elifesciences.org/articles/24060 A recent review on what Cell Painting and other phenotypic drug discovery methods can do - https://www.nature.com/articles/s41573-020-00117-w