Where: Bigelow Laboratory for Ocean Sciences, East Boothbay, Maine, USA.
When: May 1-5, 2023
Goals: Establish closer connections and collaborations between GORG-Dark researchers, discuss strategies and best practices for collaborative data analyses, and provide training in advanced computational tools for microbial single cell genomics.
Intended Audience: This event is limited to GORG-Consortium faculty, graduate students, post docs and professionals interested in learning about and working with GORG SAG data.
Course Chairs: Ramunas Stepanauskas and Julia Brown
- Introduction to Bigelow Laboratory and microbial single cell genomics
- Participant Research Symposium
Day 2: Using SAGs for analysis of meta’omic data:
- GORG-Classifier software tutorial
- Use of GORG-classifier to analyze participant data
Day 3: Identifying and removing quantitative biases in microbial genomics:
- MAGs versus SAGs: quantitative biases intrinsic to various data types
Day 4: Teasing out signals within SAGs:
- Identification of biosynthetic gene clusters within SAGs
- Identification of viruses and other mobile elements
Day 5: Data visualization:
- Participant demonstrations
- Work in break-out groups and discussion
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