Intermediate Bioinformatics Scripting In Python, BioPython, R & BioConductor


About This Course

Intermediate Bioinformatics Scripting In Python, BioPython, R & BioConductor Allows You To Level-up Your Biological Programming Skills

Bioinformatics analysis involves the extensive study and analysis of huge biological datasets, such as Sequences Alignment and Analysis, Genome Analysis, Proteome Analysis, Phylogenetic Analysis, Biological data visualization, MicroArray gene expression analysis and much more. Hence, the major part of bioinformatics is connecting together different processing steps into a single pipeline, and then applying that pipeline to many other files repeatedly.

In this course you’ll learn various concepts related to how to write your Python & R scripts. Along with, you’ll learn various concepts related to different BioPython modules for reading/writing Bioinformatics files, biological data retrieval from various Bioinformatics databases, sequence analysis and alignment and much more. You’ll also be able to write R scripts for MicroArray Gene Expression Analysis, ggplot2 biological data visualization & sequence retrieval, alignment, BLAST database searching & phylogenetic analysis in BioPython.

Joining and learning from the Intermediate Bioinformatics Scripting in Python, BioPython, R &BioConductor can enhance your biological programming career by learning through various useful & informative pre-recorded lectures on various biological programming/scripting languages.

Learning Objectives

Introduction to python
Iterable Objects
Control Flow
File Handling
Functions & Modules
Error Handling
Introduction to BioPython
Sequence Analysis
Sequence Data Parsing
Sequence Data Extraction
Alignment Parsing and Analysis
BLAST Database Searching
Parsing BLAST results
Biological Data Retrieval
Parsing a PDB Structure file
Protein Sequence Analysis
Introduction to R
Variables & Functions
Vectors & Data Types
Biological Data Analysis
Control Flow
Introduction to R
Data Visualization: ggplot2
Getting Familiar With Linux
Piping and Control Data Flow
Pre-processing Biological Datasets
Processing and Analysis of Biological Datasets
Data Transformation with dplyr
Tidy Data with tidyr

Target Audience

  • The target audience for the Intermediate Bioinformatics Scripting in Python, BioPython, R & BioConductor course are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in Bioinformatics scripting and programming.
  • However, a superficial understanding of logic development for coding is expected from you before you join the course.
  • Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.


151 Lessons18h 43m


Why Python in Bioinformatics9:16
Introduction to Python and it’s Installation8:25
Basic Input and output00:15:38
Mathematical Operations00:07:20
Lists(pt 2) and Tuples00:10:38
For Loop and Calculation of Molecular Weight of Proteins00:10:56
While Loop and Biological Data Analysis00:09:37
CSV (A special kind of file in Bioinformatics)00:08:42
Reading Files00:13:45
Writing Files00:07:18
Consolidate (merge) multiple DNA and Protein Sequences into one FASTA file00:09:25
OS Module00:31:47
Error Handling00:15:31





Write a review


30% off
Duration 18.7 hours
151 lectures

Material Includes

  • Step-by-step pre-recorded lectures
  • Learn any time, any where!
  • Transcription
  • Notes
  • Coding scripts
  • BioPresentations
  • Exercises
  • Automated Evaluations (MCQs)
  • 100% Authentic Certificate

Enrolment validity: 180 days

Select the fields to be shown. Others will be hidden. Drag and drop to rearrange the order.
  • Image
  • SKU
  • Rating
  • Price
  • Stock
  • Availability
  • Add to cart
  • Description
  • Content
  • Weight
  • Dimensions
  • Additional information
  • Attributes
  • Custom attributes
  • Custom fields
Click outside to hide the compare bar
Wishlist 0
Open wishlist page Continue shopping