Skip to content

compbiocore/ccv_bootcamp_bioinfo

Repository files navigation

ccv_bootcamp_bioinfo

90 mins each            

FASTQ (30 mins total)
- Intro to fastq format, quality encoding (5 minutes)
- SRA intro (study -> sample -> experiment -> run) (5 minutes)
- download reads from SRA using fasterq-dump (5 minutes)
- download reads from ENA using wget (5 minutes)
- read QC tools (fastQC, fastqscreen) (5 minutes)

FASTA (30 mins total)
- Intro to fasta format (less than 5 minutes) - mostly for downloading reference genomes, you could make a transcriptome reference, etc. but they are all .fasta format, compare where the genes are actually positioned on ensembl and ucsc so don't mix and match GTFs. - Lots of places to download data -- different gene models and different naming conventins (e.g. chr1 vs 1). (5-10 minutes)
- refseq (5 minutes)
- ensembl (5 minutes)
- ucsc (5 minutes)

SAM (30 mins total)
- Many sequencing pipelines (RNAseq, chipseq, bisulfite seq) will eventually give you a sam file, intro to the SAM format (and BAM) (5 minutes)
- flags and cigars (5-10 minutes?)
- samtools view, samtools sort, samtools index (5 minutes)
- alignment QC tools (qualimap, picard) (10 minutes)

Annotation file types and resources (30 mins total)
- structural/positional (location on chr, intron or exon) vs functional annotations (gene symbol, GO term, etc.) (5 minutes)
- GTF, GFF2, GFF3 (5-10 minutes)
- gene ID types -- refseq, ucsc, ensembl, gencode, others? (5 minutes)
- GO, KEGG, Reactome -- go through w clusterprofiler (10 minues)

R annotation packages (15-20 minutes) - TxDb/EnsDb (5 minutes) - orgDBs (5 minutes)
- biomaRt (5 minutes)
- annotationHub (5 minutes)
- GenomeInfoDB (5 minutes)

https://bioconductor.github.io/BiocWorkshops/introduction-to-bioconductor-annotation-resources.html https://bioconductor.org/packages/devel/workflows/vignettes/annotation/inst/doc/Annotation_Resources.html

Check out ucsc browswer page w file format definitions all the annotation stuff will be on the hub

put together a google doc w the outlines/high level info for the R workshops and the bioinformatics workshops

Getting Started on Oscar

Working on the Command Line

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published