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https://github.com/erictleung/bmi656-research-project

Final project for BMI 656 Bioinformatics Programming and Scripting
https://github.com/erictleung/bmi656-research-project

class-project h5n1 kegg-pathways odds-ratio project python python-programming

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Final project for BMI 656 Bioinformatics Programming and Scripting

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bmi656-research-project
=======================

This repository contains the files for the final project in BMI 656.

# odds.py

This script will perform an odds ratio calculation to identify pathways
containing a larger number of differentially expressed genes than would be
expected by chance.

This script will assume you have the following text files in the current
directory:

+ H5N1_VN1203_DE_Probes.txt
+ H5N1_VN1203_UNIVERSE_Probes.txt
+ KEGG_Pathway_Genes.txt

The script will parse through each of them and find KEGG pathways which have an
odds ratio greater than 1.5. A KEGG pathway will be chose out of the ones with
an odds ratio greater than 1.5 to study further in the next section.

# crossSpecies.py

# Deliverables

+ (60 points) Write Part I and Part II as separate python programs that are both called from a linux bash script. This script should check for the existence of relevant files and check that Part I has successfully completed before running Part II. Turn in both python programs and the bash script.
+ (10 points) Screen shot of pathway with highlighted differentially expressed genes
+ (10 points) Boxplot labeled with p-value of **Mann-Whitney statistic**
+ (20 points) 1-2 page write-up summarizing your findings. This should be a word document that includes at least 2
figures corresponding to your pathway and boxplot. Discuss the limitations of the study and any obstacles/problems you experienced. Discuss the relevance of the pathway to H5N1 infection. Discuss why the conservation of the affected pathway might be important for the study of H5N1 (Hint: think about our use of model organisms to study infectious diseases).