These are the schedule and classroom materials for the ANGUS workshop at UC Davis, which will run from June 26th to July 8th, 2017.
This workshop runs under a Code of Conduct. Please respect it and be excellent to each other!
Twitter hash tag: #ngs2017
7:30pm - 9pm, Valley Hall.
Introductions!
Booting a cloud computer from Jetstream!
Running BLAST at the command line
Assessment.
Student 30-second introductions.
9am lecture: C. Titus Brown, UC Davis - "On Biology and Data Analysis."
Morning: 10:15am.
Afternoon: 1:15pm - 3pm.
- Visualizing BLAST score distributions in RStudio
- Review and explore: Command line UNIX, and R/RStudio
Evening: 7pm-8:30: student presentations and questions! Ice cream social.
9am lecture: Melissa Wilson Sayres, Arizona State University - "Sex-biased genome evolution"
Morning and afternoon: 10:15am-4pm.
- Quality trimming your reads.
- Mapping and samtools and variant calling.
- High Throughput sequencing. What could go wrong?
(Evening: free time - Wed Farmers' market!)
9am lecture: Chris Hamm, Monsanto - Why are there so many butterflies?
Morning: 10:15am-noon
Afternoon and evening: 1:15pm-3pm, 7-8:30.
9am lecture: Adrienne Roeder, Cornell - Reaching biological conclusions from RNA-seq: the good, the bad, and the ugly
Morning: 10:15am-noon.
Afternoon: 1-3pm.
Evening: (also running on Saturday afternoon; you only need to come to one.)
(Morning: free time / Saturday market)
Afternoon (1-4pm): Introduction to automation.
Note! this will be a repeat of Friday evening! You only need to come to one.
9am lecture: Erich Schwarz, Cornell - "Assembling and biologically interpreting nematode genomes"
Morning: 10:15am-lunch, in lions & tigers & bears.
- Reference independent analyses with k-mers; sourmash. - Luiz in Lions, Phil in Tigers, and Titus in Bears.
Lunch will be local, with a food truck
Afternoon: 1pm onwards, in 1030 Valley.
- Variant calling and big genomes: GATK. (Tamer Mansour)
- Genome Wide Association Studies.
- Meta-analysis of GWAS studies (Shannon Joslin)
Evening: Ice cream and demos! 1030 Valley.
- 6:30pm onwards: ice cream!
- 7pm-9pm: demonstrations and eye candy (1030 Valley)
- CyVerse and what an allocation request looks like.
- Jupyter Notebook, R and Python for data science.
- where should I put my data? One option: the Open Science Framework
- GitHub
- where do I find the data? NCBI, ENSEMBL, ENA; how to get FASTQ out of NCBI.
- & other things
9am tutorials:
- Assessing & assembling nanopore data. (Lisa Cohen and Jon Badalamenti)
- 11am: panel discussion: The Future of Biology, Bioinformatics, and Humanity.
4pm onwards: July 4th celebration at Community Park. We will have a sun cover and ice chests!
9am lecture: Megan Dennis, UC Davis - "Complex genomic variation and its role in human evolution and disease"
Morning: 10am-noon
- RMarkdown - in lions/tigers/bears rooms.
Wed 1:15-4pm: breakout sessions
- meet in 1030 Valley at 1:15pm to choose breakout sessions - see hackmd document for breakout sessions!
- move to breakout rooms on special topics.
5pm onwards: Wed market.
9am lecture: Michael I Love, UNC Chapel Hill - "Statistics and bias correction in RNAseq differential expression analysis"
Morning (10am-noon):
- Lions: De novo RNAseq assembly - Lisa
- Tigers: DESeq2 - Mike and Rob
- Bears: ChIP-seq - Fotis and Titus
Afternoon (1:15pm-3:15pm):
- Lions: Transcriptome annotation - Camille
- Tigers: De novo RNAseq assembly - Lisa
- Bears: DESeq2 - Mike and Rob
Evening: (7pm, 1030 Valley)
- Q&A with Mike and Rob; optional.
9am lecture: Robert Patro, Stony Brook University - "Don't count on it: Pragmatic and theoretical concerns and best practices for mapping and quantifying RNA-seq data"
Morning (10am-noon):
- Lions: DESeq2 - Mike and Rob
- Tigers: ChIP-seq - Titus
- Bears: De novo RNASeq assembly - Tessa
Afternoon (1:15pm-3:15pm):
- Lions: ChIP-seq - Fotis
- Tigers: Transcriptome annotation - Camille
- Bears: Transcriptome annotation - Lisa
9am: Assessment.
9:30am lecture: C. Titus Brown, UC Davis - "Effectively infinite: next steps in Data Intensive Biology."
Further resources; continuing your learning.
Questions and answers.
Course review, input, and feedback.