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Schedule
## RNA-seq Bioinformatics Introduction to bioinformatics for RNA sequence analysis
assets/genvis-dna-bg_optimized_v1a.png
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The following is a representative schedule for a 7-day version of this course that was hosted by Cold Spring Harbor in the Fall of 2021.

Each day ran from 10:00 AM Eastern to 5:00 PM Eastern

Day Time (ET) Duration Module Topic
1 10:00-10:15 0:15 Introduction to the course and curriculum. Instructor/student introductions.
10:15-11:15 1:00 “Overview of Next-generation Short Read Sequencing Technologies and Methods” lecture
11:15-12:15 1:00 “PacBIO and Oxford Nanopore Long read sequencing” lecture
12:15-13:00 0:45 “Improved detection of DNA insertions with Absinthe” lecture
13:00-14:00 1:00 Midday Break
14:00-14:45 0:45 Oxford Nanopore Technology demo and tour
14:45-16:00 1:15 “Single Cell Technologies and Applications” lecture
16:00-16:30 0:30 Multi-omics protocols and lab “chalk talk”
16:30-17:00 0:30 General open discussion
2 10:00-10:15 0:15 Introduction to the bioinformatics section
10:15-11:30 1:15 0 Introduction to Cloud Computing and Cloud Set-up
11:30-13:00 1:30 Command line warm up
13:00-14:00 1:00 Midday Break
14:00-15:00 1:00 Genomes, FASTA, FASTQ lecture
15:00-16:00 1:00 Alignment fundamentals and practical
16:00-17:00 1:00 BAM format and practical
3 10:00-11:00 1:00 Overview of variant calling
11:00-11:45 0:45 Variant calling and variant interpretation practical
11:45-12:00 0:15 Short Break
12:00-13:00 1:00 Variant calling and variant interpretation practical
13:00-14:00 1:00 “Importance of structural variants and value of long read sequencing” lecture
14:00-15:00 1:00 Midday Break
15:00-16:00 1:00 “Intro to RNA-sequencing and analysis” lecture
16:00-16:15 0:15 Environment setup and tool installation lab
16:15-17:00 0:45 1 Data inputs (reference genome, annotations, indexing, raw data) lab
4 10:00-10:30 0:30 2 Alignment lab
10:30-11:30 1:00 Alignment Visualization lab
11:30-12:00 0:30 Alignment QC lab
12:00-13:00 1:00 “Statistics for count-based data and gene expression/differential expression analysis” lecture
13:00-14:00 1:00 Midday Break
14:00-15:00 2:00 3 StringTie, HTSeq, and spike-in analysis lab
15:00-16:00 2:00 Differential expression analysis lab
16:00-17:00 1:00 Wrap-up exercise with Q&A as needed
5 10:00-11:15 1:15 Differential expression visualization lab
11:15-12:15 1:00 Differential expression pathway analysis lab
12:15-13:00 0:45 Batch correction
13:00-14:00 1:00 Midday Break
14:00-16:30 2:30 4 Alignment free expression analysis with Kallisto lab
16:30-17:00 0:30 Wrap-up exercise with Q&A as needed
6 10:00-11:00 1:00 "A complete reference genome improves analysis of human genetic variation" lecture
11:00-12:00 1:00 8 “Intro to scRNAseq analysis” lecture
12:00-13:00 1:00 Data generation, raw data format, data QC, Cell Ranger, and basic visualization in Loupe/VDJ browser lab
13:00-14:00 1:00 Midday Break
14:00-17:00 3:00 Seurat lab
7 10:00-11:00 1:00 “Variant Representation, Annotation, and Interpretation” lecture
11:00-12:00 1:00 “Metagenomics and viromics” lecture
12:00-13:00 1:00 Review multi-omics data generated during course
13:00-14:00 1:00 Midday Break
14:00-15:00 1:00 “Comprehensive Analysis of Single Cell Epigenomic Data” lecture
15:00-16:00 1:00 “Epigenomics and NGS” lecture
16:00-17:00 1:00 Wrap-up, Q&A, Evaluations