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Course : Bioinformatics and Computational Biology


    Course Elements

Bioinformatics is a set of methods and software tools that are developed for understanding of biological data. It is a combination of:

Biology + Computer Science + Information Engineering + Mathematics + Statistics Computational biology is the development and application of data analytical and theoretical methods for study. This course extensively mentions about the significant aspects of these two concepts.

  • Molecular Biology
  • Math Primer
  • Combinational Optimization
  • Entropy and Applications to Molecular Biology
  • Genomic Segmentation Algorithm
  • Sequence Alignment
  • Scoring Matrices
  • Global Pairwise Sequence Alignment
  • Distance Methods
  • Alignment with Tandem Duplication
  • Similarity Methods
  • Multiple Sequence Alignment
  • Dynamic Programming
  • Gibbs Sampler
  • Maximum-Weight Trace
  • Hidden Markov Models
  • Steiner Sequences
  • Genomic Rearrangements
  • Locating Cryptogenes and Guide RNA
  • Rate of Evolutionary Change
  • Clustering Methods
  • Maximum Likelihood
  • Recursive Definition for the Likelihood
  • Structure Prediction
  • RNA Secondary Structure
  • DNA Strand Separation
  • Amino Acid Pair Potentials


Bioinformatics and Computational Biology are both an integrated phenomenon for analysis and study of data collected in various fields. The learning outcomes of this course re as follows:

> Basic concepts of Bioinformatics and Computational Biology.
> Relationship between Bioinformatics and Computational Biology.
> Areas of study of Bioinformatics and Computational Biology
> Tools and Methods used in Bioinformatics and Computational Biology.
> Why are Bioinformatics and Computational Biology considerable?
> working structure of Bioinformatics and Computational Biology
> Illustrating examples on Bioinformatics and Computational Biology.



By Alexia Vans

Bioinformatics and Computational Biology are the significant concepts which one needs to learn for the analysis of data. Being a fresher with this concept, this course has helped me to a great extent.

By Tim Brown

The plus point of this Bioinformatics and Computational Biology course is its understandability level of the concepts. It starts with the very basic phenomenon and goes on with the complex areas of understanding.

By Harry Wall

The relationship and points of difference between Bioinformatics and Computational Biology has been aptly explained in a thoughtful manner. I am so happy to invest my time and money in such a fruitful course.

By James Dark

Bioinformatics and Computational Biology has always been a confusing deal for me to understand. This course has explained all the concepts without any confusion with relevant practical examples.

By Daisy Ground

I am completely satisfied with the improvements and knowledge that I gained through this course. It’s a value for money course. Beginner or an expert, this course helps the both.


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