Your eLearning Directory of Bioinformatics Essentials!

In the previous section we discussed "What makes you a Good Bioinformatician?" and concluded that one requires to take a slice from the three major pillars of bioinformatics i.e. biology, mathematics and computer sciences. It is required to gain expertise in any of the two, and learn the fundamentals of the third one. We also discussed that there are range of options that one can opt for, from amongst the three. Here, I have hand-picked a list of online resources that can provide a PRIMER on some of these options.

Note: This page will update time to time! You might want to save this page for the current listings or Bookmark it for further updates in this catalogue.


Biology                                                 

• Fundamentals of Biology
• http://ocw.mit.edu/courses/biology/7-01sc-fundamentals-of-biology-fall-2011
• http://webcast.berkeley.edu/playlist#c,d,Biology,CF8E59B3C769FB01 

• Biochemistry
• http://nptel.ac.in/video.php?subjectId=102105034  

• Molecular Biology
• http://itunes.apple.com/WebObjects/MZStore.woa/wa/viewPodcast?id=354820440 

• Principles of Evolution, Ecology and Behavior
• http://oyc.yale.edu/ecology-and-evolutionary-biology/eeb-122 

Mathematics                                        

• Numerical Methods
• http://numericalmethods.eng.usf.edu 

• Linear Algebra
• http://numericalmethods.eng.usf.edu 

• Statistics
• https://www.coursera.org/course/stats1 

• Differential Equations
• http://ocw.mit.edu/courses/mathematics/18-03sc-differential-equations-fall-2011 

• Networks: Theory and Applications
• http://open.umich.edu/education/si/si508/fall2008 

• Dynamic Systems and Chaos 
• http://www.math.tamu.edu/~mpilant/math614

Computer Sciences                                

• Introduction to Computer Science and Programming (Python related)
• http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-00sc-introduction-to-computer-science-and-programming-spring-2011
• https://code.google.com/edu/languages/google-python-class 

•  Data Structures (Java related)
• http://webcast.berkeley.edu/playlist#c,d,Computer_Science,63AE13B304CE443E

• Building Dynamic Websites 
• http://cs75.tv/2010/fall

• Introduction to Databases
• http://www.db-class.org/course 

• Computer Graphics
• http://itunes.apple.com/us/itunes-u/computer-graphics-fall-2009/id457893733 
• http://nptel.iitm.ac.in/video.php?subjectId=106106090 

• Machine Learning
• https://www.coursera.org/course/ml?from_restricted_preview=1&course_id=152

Cross Platform Courses                            

• Computational Molecular biology
• http://biochem218.stanford.ed

• Computational Biology
• http://www.algorithm.cs.sunysb.edu/computationalbiology

• Computational Seminars
• http://videolectures.net/Top/Computer_Science/Bioinformatics

This catalogue is intentionally kept smaller, in spite of dozens of other publicly available courses. The intention is NOT to trigger a "Decision Fatigue", a very common fallacy arose when mind is subjected to multiple options (as very well described by Rolf Debelli), but to facilitate the selection.

If you want to give a try :-) visit:
http://www.coursera.org
http://ocw.mit.edu/courses
http://nptel.iitm.ac.in/
http://videolectures.net/


If you find any alternative and better course for the given topics, please care to use the following comment box. I will update this list whenever possible.