Point people/organizers: Frank Alber, Yin Shen, Susanne Rafelski

4DN Google Drive folder: https://drive.google.com/drive/folders/1sskUxIcdm9Aohp92XeNwv9wt6nNYR3U2?usp=sharing

4DN Calendar: https://wiki.4dnucleome.org/4dn:calendar_4dn (click here to add this specific WG calendar to your personal calendar)

Agenda/minutes: https://docs.google.com/document/d/1-cgXP2sBcvZMT-Ap5Z5wzSYteRJnyAvQTsShsu9Wgw0/edit?usp=sharing

Schedule for lightning talks: https://docs.google.com/document/d/1sR0aNxYZIw_0MtHBFaHS_O9fkKiAyNDXow31r-JN6PU/edit?usp=sharing

Meeting attendee spreadsheet: https://docs.google.com/spreadsheets/d/1pUjpEu0NoodCX4pHtf4lYxJn2DdhVWxwrThaiHYUy2o/edit?usp=sharing

Email list: integrating-imaging-omics@4dnucleome.org

Slack channel: #wg-integrating-imaging-omics

Landing page at the 4DN Data Portal: https://data.4dnucleome.org/4DN-AICS-Collaboration

The working group’s efforts will be devoted to developing an integrative framework for combining imaging modalities with single cell and ensemble genomics data to study the changes in global cellular organization during biological processes, such as cell cycle, differentiation or perturbations.

The working group has two main objectives:

1. An explicit goal of this working group is to provide a platform and foster interactions between researchers from different disciplines—imaging, genomics and computational modeling—to work jointly on breaking the barriers in integrating imaging with omics data types. The working group will develop strategies for data integration, discuss common practices and compare different integration strategies. The strategies developed by this objective will be generally useful for a variety of 4DN projects and data types.
2. The second objective is to coordinate a joint effort in generating a variety of genomics and imaging data sets for a specific target system. Here, we focus on the WTC11 cell line and expand the joint effort of this working group from phase 1 in generating and analyzing a variety of imaging and genomics data. The initial focus on one cell type will guarantee the production of a rich data set, which will be applied to integration strategies developed in objective 1.