Bioinformatics with Python
4.1 (31 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
239 students enrolled

Bioinformatics with Python

A Complete Guide For Beginners
4.1 (31 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
239 students enrolled
Created by Jesse E. Agbe
Last updated 5/2020
English
Current price: $41.99 Original price: $59.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 13 hours on-demand video
  • 4 articles
  • 5 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Bioinformatics using Python
  • Learn Biopython and Scikit-bio
  • Sequence Analysis and Sequence Alignments
  • Write Custom Functions For DNA Sequence analysis and Protein Synthesis
  • Create Our Own Bioinformatics Python Package using Poetry
Requirements
  • Basic Understanding of Biology and Bioinformatics
  • Basics of Python Programming
  • Willingness to learn
Description

Do you know that the human genomic sequence if printed out in a normal text font, would stretch for 5000 km, which is like the distance from London to Montreal, Los Angeles to Panama, Accra to Cape Town,  Tokyo to Calcutta.

This same sequence would fill about 3000 books the size of a normal book.

Understanding and analyzing this sequence is clearly going to be a huge task.

But with the advent of powerful tools and databases we can be able to grabs a simple understanding of some aspect of it.

In this introductory course we will explore the various Python tools and libraries used in analyzing DNA,RNA and genome sequence.


Hence if you are interested in analyzing large sum of biological data or are curious about DNA sequence,protein synthesis,and how vaccines are designed. Then this course is for you.


Whether you are a student or a researcher, data scientist or bioinformatics engineer,computational biologist, this course will serve as a helpful guide when doing bioinformatics in Python.

We will be exploring bioinformatics with BioPython, Biotite, Scikit-Bio, BioJulia and more.

Data is everywhere, biological data is in every living organism.Let us analyse it for useful insights


We will learn

  • how to do sequence analysis with BioPython,Biotite,etc

  • how to perform sequence alignment with code.

  • how to create our own custom functions for analyzing DNA,RNA and Proteins.

  • how to do some bioinformatics with Python.

  • how to analysis the DNA sequence of Covid 19, MERS and more.


NOTE: This is an introductory course structured like a reference material for anyone interested in doing bioinformatics with python.

Join us as we explore the world of biological data with Python

Who this course is for:
  • Beginner Python Programmers curious about doing Bioinformatics with programming
  • Students and Researchers
  • Beginners to Bioinformatics,Computational Biology and Genomics
Course content
Expand all 45 lectures 13:08:47
+ Module 01 - Introduction
5 lectures 24:52
What is a DNA?
04:52
What is Protein Synthesis?
06:18
Overview of Bioinformatics Databases
03:11
+ Module 02 - Bioinformatics with BioPython
15 lectures 03:30:59
Handling Sequences with BioPython
25:19
BioPython - Protein Synthesis
18:54
BioPython - DNA Composition - GC Content,AT Content and Frequency
29:11
BioPython - Sequence Alignment
18:53
BioPython - Difference Between Sequence Similarity and Sequence Identity
10:42
BioPython - Checking for Similarity Using Distance
11:39
BioPython - Working with Biological Data File Formats - FASTA,GENBANK,etc
10:57
BioPython - Working with 3D Structures
14:18
BioPython - Visualizing 3D Structures
08:33
BioPython - Using Nglview For 3D Structures
11:56
BioPython - Using Pytraj For 3D Structure
03:00
BioPython - BLAST
04:15
Section Materials - For BioPython
00:02
Real Example with BioPython - Sequence Analysis of Covid 19 DNA
33:26
+ Module 03 - Bioinformatics with Biotite
11 lectures 02:59:21
Biotite - Introduction, Handling Sequences and Protein Synthesis
42:16
Biotite -Sequence Alignments
24:22
Biotite - Working with Files
09:54
Biotite - Reading Data From Bioinformatic Databases
16:36
Biotite - Fetching PDB Files from Protein Data Bank
06:20
Biotite - Fetching and Querying Multiple PDB Files
01:49
Biotite - Working 3D Structures of Protein
06:40
Biotite - Quick Overview of Phylogenetics with Biotite
04:58
Biotite - Applications Subpackage
11:43
Real Example with Biotite - Comparing Coronavirus and MERS viral genome
54:41
Section Materials - For Biotite
00:02
+ Module 03 - Bioinformatics with Scikit-Bio
9 lectures 01:49:20
Scikit-Bio- Handling DNA,RNA and Protein Sequence
16:48
Scikit-Bio - DNA Composition - Checking for GC Content and AT Content
10:20
Scikit-Bio - Checking for Similarity using Hamming Distance and Kmer-Distance
24:06
Scikit-Bio - Kmers and Kmers Frequency
15:22
Scikit-Bio - Sequence Alignment - Global and Local Alignments
13:47
Scikit-Bio - Working with FASTA and GenBank File Formats
12:23
Scikit-Bio - Phylogenetics - A Simple Overview using Newick Format
11:34
Section Materials - For Scikit-Bio
00:02
+ Module 04 - Bioinformatics Extra - Using Custom Functions, BioJulia etc
5 lectures 04:24:12
Bioinformatics using Custom Functions in Python
01:02:42
Building A BioInformatics Package with Python -From Scratch
01:16:42
Building A Simple BioInformatics App with Streamlit
58:35
Bioinformatics with Julia
01:06:04
Thank You Note
00:09