Fall 2019 EEOB/BCB 546X Schedule
We will update this page before every class with the slides and links to in-class materials. To view the planned schedule of course activities, view the class calendar using the button below.
Accessing Data and Class Files
All of the files used for in-class activities and assignments are published online in a public GitHub repository. It is expected that you will pull any new changes to this repository at the beginning of class. This will enable you to access new data files and scripts needed for in-class activities.
The 2019 repository can be found at: https://github.com/EEOB-BioData/BCB546X-Fall2019.
You will also need to access the files associated with the course textbook Bioinformatics Data Skills by Vince Buffalo. This repostitory can be found here: https://github.com/vsbuffalo/bds-files.
In Class Activities
Current Week
December 4-6
- Lecture 26: Shell Scripting
- Lecture 27: Shell Scripting
Previous Weeks
August 28-30
- Lecture 1: Introduction to Unix [slides] [UNIX_exercise]
- Lecture 2: Buffalo Chapter 3, UNIX [slides] [pdf of slides]
September 4-6
- Lecture 3: Introduction to version control using Git [slides]
- Be sure to have a GitHub account before class.
- Lecture 4: More fun with Git [slides]
September 11-13
- Lecture 5: Introduction to High Performance Computing [slides] [pdf of slides] [HPC_Exercise]
- Lecture 6: Buffalo Chapter 7: Advanced UNIX [slides] [pdf of slides]
September 18-20
- Lecture 7: Buffalo Chapter 7: Advanced UNIX [slides] [pdf of slides]
- Lecture 8: Buffalo Chapter 7: Advanced UNIX [slides] [pdf of slides]
September 25-27
- Lecture 9: Buffalo Chapter 7 (cont.): Advanced UNIX [slides] [pdf of slides]
- Lecture 10: Introduction to R and RStudio and R Markdown. [link]
October 2-4
October 9-11
October 16-18
- Lecture 15: Genomic Ranges [slides]
October 23-25
- Lecture 16: Data Management Plans and LaTeX [slides on Overleaf][slides PDF]
- Lecture 17: Getting Started with Python [Python Homepage]
- Before we start you must have Python installed. Please go to the installation instructions to find out how to install Anaconda.
- Introduction to Python Lesson
October 30-November 1 (Joƫlle Barido-Sottani)
- Lecture 18: Introduction to Python Datatypes and Packages
- Lecture 19: Working With Pandas DataFrames in Python
November 6-8
- Lecture 20: Working With Pandas DataFrames in Python, continued
- Lecture 21: Indexing, Slicing, Subsetting, and Iterating DataFrames in Python
November 13-15
- Lecture 22: Visualizing Data in Python
- Lecture 23: Introduction to Biopython
November 20-22
- Lecture 24: Introduction to Biopython, continued
- Lecture 25: Sequence & Alignment Data: [slides]
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