Microbial Diversity @MBL, Genomics lessons week 4
Instructors
TA:
Time | Activity | Location |
---|---|---|
09:00 | Titus Brown: "Why Sequence Genomes?" | Candle House |
10:30 | Scott Dawson: Phylogenies | Candle House |
1:00 - 3:00 | Lab (Scott): Genome annotation, gene search and BLAST, IMG, and other resources | Groups 1 + 2, Candle House |
7:00 - 9:00 | Same Lab | Groups 3 + 4, Fishbowl |
Time | Activity | Location |
---|---|---|
09:00 | Tracy Teal: "Soil microbial communities: A study with metagenomics" | Candle House |
10:30 | Titus Brown: "Shotgun metagenome assembly: how well does it work?" | Candle House |
1:00 - 3:00 | Lab (Tracy): UNIX command line, scripting, and automation | Groups 3 + 4, Candle House |
7:00 - 9:00 | Same Lab | Groups 1 + 2, Fishbowl |
Time | Activity | Location |
---|---|---|
09:00 | Tracy Teal: "Computing Workflows for Biologists" | Candle House |
10:30 | Scott Dawson: Phylogenies (part 2) | Candle House |
1:00 - 3:00 | Lab (Titus): Use sourmash to search and compare genomes and metagenomes; understand a bit more about k-mers | Groups 1 + 2, Candle House |
3:00 - 5:00 | Same Lab | Groups 3 + 4, Candle House |
6:00 | 2 min students miniproject pitch presentation - Pizza! | Everyone, Fish bowl |
8:00 | Termite guts at Fishbowl and lab | Everyone |
Time | Activity | Location |
---|---|---|
09:00 | Titus Brown: RNASeq and stats intro, static Jupyter notebook simulation | Candle House |
10:30 | Scott Dawson: A Giardia transcriptome story | Candle House |
1:00 - 3:00 | Lab (Tracy): Programming in R for plotting and community analysis | Groups 1,2, 3 + 4, Candle House |
6:30 | Swope Group photo |
Time | Activity | Location |
---|---|---|
09:00 | Murat Eren: Anvi'o for visualization | Candle House |
10:30 | Titus Brown: Our data-intensive future and how to plan for it. | Candle House |
1:00 - 5:00 | Miniprojects; genomic & bioinformatics consultation with Titus and Lisa | Lab |
Extra:
Thursday 10 August 2017
Time | Activity | Location |
---|---|---|
3:00 - 4:00 | Lisa Johnson: Using External Compute Resources for Analyzing Large Sequencing Data Files | Candle House |