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      BIS 180L

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CLI
Introduction to the Command Line 1
Introduction to the Command Line 2
Introduction to the Command Line 3
Extra
BashCrawl
Challenge & Homework Solutions
Software Installation
Installation using make and cmake
Conda
Introduction to R
Introduction to R Day 1
Introduction to R Day 2
Introduction to R Day 3
Challenge solutions
Alignment
Local Alignment
Python
Intro
Basic Data Types
Flow Control, Functions, Files, Errors
Writing Programs
Biopython and bamnostic/pysam
Next Steps
Bioinformatics File Types
RNA-Seq
  Data Reduction
Files and Filetypes
Prepare dataset
Preprocessing raw data
Indexing a Genome
Alignment with Star
Generating counts tables
  Data Analysis
Prepare R for data analysis
Annotation from BioMart
Differential Expression Analysis
Pathway Analysis

All documentation for the class is best viewed from the github.io pages

Documentation

Overview

Genomic analyses require Bioinformatics skills. Therefore, the first part of the course is a tour through 3 critical technologies every genome analyst needs: Unix/Linux, R, and Python. In the second part of the course, you will use your newfound skills to perform experiments in RNA-Seq, variant detection, metagenomics, etc.

Instructors

BIS180L is normally taught by Dr. Julin Maloof, but Dr. Maloof is on sabbatical so the instructors and course content are different this quarter.

Discord

The class has a Discord Channel. The instructors monitor the Discord channel, so if you have a question outside of classroom hours, this is a good place to ask. Please join the Discord server here: https://discord.gg/QTsBfMNp75

Office Hours

You can schedule a 30 min session with the professor via Calendly. https://calendly.com/iankorf/zoom

Grading

Each unit ends with a graded written assignment. The grade depends on several factors.

There is no final exam for the course because you are graded on assignments on a regular basis.

Content