This Is An Introductory Course On The Matlab Programming Language. Bioinformatics Examples From Sequence Analysis And Gene Expression Analysis Are Used

Introduction: Matlab is a high-level programming language mainly used for writing scripts, analyzing data and building applications. It has strong capabilities for statistical analysis and visualization, and many programming tasks can be completed in very few lines of code. The code then does not even need to be compiled (as is the case in other programming languages like C, C++ and Java), making it ideal for applications where rapid prototyping and automation is desired.


Why learn Matlab? Matlab, because of its powerful features for processing data, is ideally suited for bioinformatics. Fewer lines of code are needed to be written, and the code is intuitive and easy to learn and implement. Reading tab-delimited or comma-separated data files takes 1 line of code. Finding patterns in a long DNA sequence is just 1 line of code. Modules like the Statistics and Bioinformatics toolboxes make it easier to bring powerful functionality at the fingertips of biologists who can then build powerful, automated workflows. Matlab can also be used interactively like Python and R, giving it an edge over Perl in terms of features.


Logistics: This online R course is divided into two levels and comes with pre-recorded videos, handouts, reference cards, examples, data, scripts and quizzes. Enrollees can contact the instructor with questions and get help on the projects. The main topics are listed below, but we teach mostly everything there is to know about using Matlab for Bioinformatics. Homework assignments will involve running commands learned in the live lectures. There are no degree prerequisites for this course, but basic knowledge of computers is essential.

Price: $1200 for Commercial/Government enrollees and $900 for Academic researchers and students.


Price:

Syllabus:

  • - Getting started with programming in Matlab. Installing Matlab
  • - Variables: creating, printing, interpolating
  • - Operations on variables. Mathematical and logical expressions
  • - Reading and writing files
  • - If-then-else statements
  • - For and while loops
  • - List and string operations
  • - Pattern matching with regular expressions. DNA sequence operations
  • - Writing custom functions
  • - Visualizing data with plots