Table of Contents
BME 483/543: Quantitative Systems Biology
Course Material
Intro
Microarray Analysis
Micro-RNA Analysis
Machine Learning in Bioinformatics
Machine Learning in Gene Expression Studies
Machine Learning in Gene Expression Studies
BME 483/543: Quantitative Systems Biology
Project Deliverables
Course Material
Intro
Dropbox setup
Using file sharing and versioning systems: Github, SVN
Working with webpages in Matlab
File parsing strategies in Matlab. regular expression.
Microarray Analysis
Reading:
Zvelebil Chapter 15.1, 16 (optional)
DNA_microarray
Watch Animation
Analysis of microarray experiments of gene expression profiling
Lecture Notes:
ma.pdf
GEO Demo:
geo_demo.mlx
,
geo_demo.pdf
, (bmes_downloadandparsegpl.m and bmes_downloadandparsegse.m available in bmes.ahmet Dropbox folder)
GEO Demo:
geo_demo.ipynb
Micro-RNA Analysis
Reading:
MicroRNAs: small RNAs with a big role in gene regulation
Lecture Notes:
mirna in pain.pdf
,
mirna target prediction.pptx
Machine Learning in Bioinformatics
Reading:
Machine learning in bioinformatics
Machine Learning in Gene Expression Studies
Reading:
Golub_et_al_1999.pdf
Classifying Microarray Data Using Support Vector Machines
Lecture Notes:
golub99.acute leukemia.svm.pdf
svmdemo_golub99.pdf
,
svmdemo_golub99.mlx
gene regulation inference.pdf
Python demo (Not gene expression related):
featureselectdemo_diabetes_py.ipynb
Machine Learning in Gene Expression Studies
Reading:
Golub_et_al_1999.pdf
Classifying Microarray Data Using Support Vector Machines
Lecture Notes:
golub99.acute leukemia.svm.pdf
svmdemo_golub99.pdf
,
svmdemo_golub99.mlx
gene regulation inference.pdf
Python demo (Not gene expression related):
featureselectdemo_diabetes_py.ipynb
RNASeq
nextgen seqalign survey.2010.pdf
Assignment - RefSeq Experiment in a Yeast Mutant
Genome Assembly
Genome Assembly
Metagenomics, Microbiome
Metagenomics
Microbiome Helper Virtual Box
,
16S tutorial
,
Metagenomics tutorial
Oracle Virtual Box, ssh, passwordless login
Initial Assignment: Install Microbiome Helper and run through the
Metagenomics Tutorial
. Compare your answers to the questions with the answers provided there.
hwmetagenomics.docx
TODO
: Discuss vectorized code: e.g., remove all rows with less than 3 non-nan samples.