Goals and Outcomes

Goals / Agenda

Prior to the in-person event, we will launch an online collaborative conversation, open to everyone, mapping out the steps in a typical morphological profiling data analysis workflow (from cell-level raw morphological data to well-level profiles to interpretation/visualization/validation strategies and tools) as well as alternatives for each step. This will provide the structure for the in-person event.
The in-person event will begin with 5-minute intros of participants, their laboratory’s aims, software tools/languages used for morphological profiling, and their application areas, to provide context.
The majority of the hackathon will be divided among the steps in the workflow. For each step, participants will show results, workflows, software tools, and code that they use in that step. Participants will thus share knowledge and expertise, and, where possible, outline best practices. We do not anticipate creating a single, recommended workflow; rather the goal will be to document strengths, weaknesses, limitations, and appropriate usage of various alternatives at each step.
We assume participants will be willing to share their work in progress (results as well as strategies for analysis) because in this field each laboratory’s “competitive advantage” does not come from their data pre-processing pipeline but rather from computational techniques downstream of the steps covered in the event, and from biological discoveries derived from their unique data.

We hope to leave with any of the following:

public wiki that outlines steps in a typical data analysis workflow for morphological profiling (complete with tips and tricks)
compilation of test data sets and ground truth for testing methods plans for community-driven open source toolboxes for the various steps of morphological profiling
code that demonstrates different analysis options plans for future events
the beginnings of long-term collaborations among members of the community