Skip to content

Illumina pipeline for 16S sequencing, completed in Python.

Notifications You must be signed in to change notification settings

ColleenBobbie/Illumina-pipeline

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

3 Commits
 
 
 
 

Repository files navigation

Illumina Pipeline

This repository contains the NGS pipeline used for the second chapter of my M.Sc. thesis. Note that this is the pipeline ONLY, and does not include any further statistical analysis.

Dataset

The data from this pipeline are publically available from the National Center for Biotechnology Information database, under the project ID: PRJNA297448.

Skills

This project relies heavily on python coding expertise, and incorporates several github .py shells from other users. Credit for these additional shells are given in the Illumina-pipeline.py script.

Complete Analysis

Complete analysis for this project can be found in my M.Sc. thesis and several published manuscripts.

  • Bobbie, Colleen Bridget. Linking fitness and the microbiota: exploring variation in microbial composition in the North American red squirrel (Tamiasciurus hudsonicus). Diss. Laurentian University of Sudbury, 2015.

  • Stothart, Mason R., et al. "Stress and the microbiome: linking glucocorticoids to bacterial community dynamics in wild red squirrels." Biology letters 12.1 (2016): 20150875.

  • Bobbie, Colleen B., Nadia Mykytczuk, and Albrecht I. Schulte-Hostedde. "Temporal variation of the microbiome is dependent on body region in a wild mammal (Tamiasciurus hudsonicus)." FEMS Microbiology Ecology 93.7 (2017).

About

Illumina pipeline for 16S sequencing, completed in Python.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages