Maureen Coleman, PhD
University of Chicago, Department of Geophysical Sciences

"The Deep Blue (Inland) Seas: Illuminating Microbial Activity in Earth’s Largest Freshwater System"

Join us for an afternoon of friendly networking with the themes of the 3rd floor of IGB. Members of Biocomplexity (BCXT), Computing Genomes for Reproductive Health (CGRH), Infection Genomics for One Health (IGOH), and Mining Microbial Genomes (MMG) will be on hand to meet and talk about their theme work. Refreshments will be served.

Lunch and learn with members of the IGB Core Facilities.

"Zeiss Axioscan .Z1 Multichannel High Throughput Brightfield and Fluorescence Whole Slide Scanning System"
Mayandi Sivaguru, Associate Director, Microscopy and Imaging Core Facilities
Carl R. Woese Institute for Genomic Biology

Larry A. Feig, PhD
Tufts University, School of Medicine

“Mechanisms Underlying Sex Dependent Effects of Stress Across Generations”

Jenny Reardon
Professor of Sociology, University of California, Santa Cruz
Full details

Discovering novel enzymes in novel pathways using the EFI-EST web tool for generating sequence similarity networks (SSNs) and the EFI-GNT web tool for generating genome neighborhood networks (GNNs). Bring your laptop! RSVP to rzallot@illinois.edu.

Lunch and learn with members of IGB Core Facilities.

"3D Imaging of Cow Embryos"

Marcello Rubessa, Research Assistant Professor, Animal Sciences

Karen N. Allen, PhD
Boston University, Department of Chemistry

"Form Follows Function:  Evolution of Protein Scaffolds for Phosphoryl Group Transfer"

This free conference will provide broad discussion on how computational genomics uses advanced computing to create problem-solving strategies and tools for many fields including engineering, biological sciences, and social sciences. Register at go.illinois.edu/CompGenCancerWorkshop.

Lunch and learn with members of IGB Core Facilities.

"IGB Outreach: Linking Research, Education and the Community"

Courtney Cox Fenlon, Outreach Activities Manager, Carl R. Woese Institute for Genomic Biology