Skip to content

Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.

Notifications You must be signed in to change notification settings

gghill/thesis-RNAseq

Repository files navigation

thesis-RNAseq

Analysis of B. saida full transcriptome data from raw reads to gene ontology

Steps outlined in this repository:

  1. Demultiplexing
  2. QA/QC
  3. Adapter trimming with Bbduk
  4. Genome indexing and alignment with STAR
  5. Feature count with htseq-count
  6. Verification of sample inter-comparability
  7. Differential gene expression (DGE) analysis
    • identification of up and downregulated genes with DESeq2
    • conversion of genes to standardized UIDs with NCBI's eFetch Utility
    • annotation of biological processes and assignment of gene ontologies using FishEnrichr
    • visualization of GO pathways using simplifyEnrichment

Steps 1-5 can be found in the pipeline, while inter-comparability verification is carried out in R (version 4.0.3 (2020-10-10)) through the approach described in fish stats and DGE is documented in the DESeq2 markdown. For additional reading, including a deeper discussion of these analyses, check out my MSc. thesis.

About

Analysis of B. saida full liver transcriptome data from raw reads to gene ontology.

Topics

Resources

Stars

Watchers

Forks

Packages

No packages published