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About This Course

Who this course is for:

  • Beginners from Biological sciences
  • Data Science beginners who are interested in biological data

What you’ll learn: 

  • The basic theory and practical demonstration of Bioinformatics tools
  • How to explore databases, and align sequences (Pairwise and Multiple Sequences)
  • Theory and practice to predict genes and their regulatory elements
  • A good understanding about homology modeling for 3D structure prediction (Theory and Practical)
  • 3D structure prediction using Threading Algorithm (Theory and Practical)
  • Secondary Structure Prediction of Globular and Transmembrane proteins (Theory and Practical)
  • Receptor-Ligand Docking and Analysis of Docking Data (Practical)
  • Phylogenetic tree (Theory)
  • Construction of Phylogenetic tree in (Practical)
  • A very strong foundation for future learning of Bioinformatics

Requirements: 

  • You need to know about the very basics of Biological macro-molecules. Do not worry if you do not know the details. For instance, if you just heard the name of DNA, RNA and Proteins and have a basic idea about their roles in life then it’s enough for you (School Level Information). 
  • There is no coding in this course. Most of the tools we will use are available online.

This course is going to be a game changer for you. Currently, there is an explosion of biological data. You need to develop your skills to handle the data in the era of this big biological data. It is humanly impossible to tackle the high biological data using conventional techniques. Here comes Bioinformatics. Bioinformatics is at the intersection of biology and computer science. Without this basic skill, you may not stand anywhere in research, academia and industry in the coming five to ten years. Keeping this need of time in view, we brought here a basic bioinformatics course for you.

In online teaching, it’s always hard to engage the students. Therefore, we have designed this course keeping the psychology of students in view. Usually, students start to lose their interest when they are stuck in a complex concept. That’s why we tried to move from simple to complex easily and understandably.

We will assume that you know nothing about DNA, RNA, and Proteins except their names. You are welcome to this course. In every module of this course, we will start from scratch. We hope this technique will make it easy for you to understand the hardcore concepts of bioinformatics in a better way.

This course includes five modules:

  1. Databases
  2. Alignment
  3. Genomic Bioinformatics
  4. Structural Bioinformatics
  5. Evolutionary Bioinformatics 

We hope this course will be worth your money and time.

Our Promise to You

By the end of this course, you will have learned Bioinformatics.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about handling huge and complex biological data with computer science.

Course Curriculum

6h 34m

Section 1 - Databases
Definition Of Databases 00:00:00
Database Design 00:00:00
Knowledge Discovery 00:00:00
Biological Databases 00:00:00
Take Home Key Points 00:00:00
Practical 1: NCBI Nucleotide Database 00:00:00
Practical 2: Protein Databank (PDB) 00:00:00
Section 2 - Sequence Alignment
What Is Sequence Alignment? 00:00:00
Some Important Terms 00:00:00
Types Of Sequence Alignment 00:00:00
What Is Algorithms? 00:00:00
Dot Matrix Algorithm; How Does It Work? 00:00:00
Dot Matrix Algorithm; How To Interpret The Results? 00:00:00
Dot Matrix Algorithm; Identification Of Repeat Sequences 00:00:00
Dot Matrix Algorithm; Advantages vs Disadvantages 00:00:00
Practical 3: DotMatcher For Qualitative Comparison Of Sequence 00:00:00
Dynamic Programming Method: How Does It Work? 00:00:00
How To Transform Scoring Matrix To Alignment? 00:00:00
Dynamic Programming; Some Important Terms To Understand 00:00:00
Comparison Between DotMatrix and Dynamic Programming 00:00:00
Practical 4: Global Pairwise Sequence Alignment Using DNA Sequences 00:00:00
Practical 5: Pairwise Sequence Alignment Using Protein 00:00:00
Practical 6: Local Pairwise Sequence 00:00:00
Introduction To Database Searching; BLAST 00:00:00
Type Of Algorithms 00:00:00
How Does Word Algorithm Work – Part 1 00:00:00
How Does Word Algorithm Work – Part 2 00:00:00
An Important Term For Word Algorithm 00:00:00
Important Statistical Values To Evaluate The BLAST Results 00:00:00
Different Type Of BLAST Associated With NCBI Databases 00:00:00
Practical 7: How To Use BLAST Program 00:00:00
Optional: How To Use PSI-BLAST 00:00:00
Multiple Sequence Alignment; An Introduction 00:00:00
Algorithms For Multiple Sequence Alignment 00:00:00
Progressive Sequence Alignment Algorithm 00:00:00
Tools For Multiple Sequence Alignment 00:00:00
Practical 8: How To Use CLUSTAL-W 00:00:00
Practical 9: How To Use T-COFFEE 00:00:00
Section 3 - Genomic Bioinformatics
Introduction 00:00:00
What Is DNA? 00:00:00
Where Is Our DNA Located? 00:00:00
What Is The Role Of DNA? 00:00:00
What Do Genes Have? 00:00:00
Algorithms For Gene Prediction-1 00:00:00
Algorithms For Gene Prediction-2 00:00:00
GC-Bias And Test Code; An Ab-Initio Type Of Algorithm 00:00:00
Introduction Of Markov Model – Part 1 00:00:00
Introduction Of Markov Model – Part 2 00:00:00
Machine Learning And Gene Prediction 00:00:00
Practical 10: Prediction Of Prokaryotic Gene 00:00:00
Practical 10.1: Prediction Of Prokaryotic Regulatory Elements 00:00:00
Practical 11: Prediction Of Eukaryotic Gene 00:00:00
Section 4 - Structural Bioinformatics
Introduction 00:00:00
What Is Protein? – Part 1 00:00:00
What Is Protein? – Part 2 00:00:00
Some Important Points 00:00:00
Role Of Amino Acids In 3D Structure 00:00:00
Peptide Bond; A Link Between Amino Acids 00:00:00
Double Bond-Like Character In Peptide Bond And Ramachandran Plot 00:00:00
Forces Stabilizing The Protein Structure 00:00:00
Secondary Structures Of Proteins 00:00:00
Practical 13: Visualization Of Protein Structure In Pymol 00:00:00
Why Protein Structure Prediction Is So Important? 00:00:00
Protein Secondary Structure Prediction Algorithms – Part 1 00:00:00
Protein Secondary Structure Prediction Algorithms – Part 2 00:00:00
Practical 15: Prediction Of Globular Protein Secondary Structure 00:00:00
Algorithm For Secondary Structure Prediction Of Transmembrane Proteins 00:00:00
Practical 16: Prediction Of Transmembrane Helix Secondary Structure 00:00:00
3D Structure Prediction Algorithms 00:00:00
Homology Based Algorithm – Part 1 00:00:00
Homology Based Algorithm – Part 2 00:00:00
Homology Based Algorithm – Part 3 00:00:00
Homology Based Algorithm – Part 4 00:00:00
Model Validation And Drawback Of Homology Based Algorithm 00:00:00
Practical 17: Prediction Of 3D Structure Using Homology Modeling (Mdeller) 00:00:00
Threading Algorithm For 3D Structure Prediction 00:00:00
Practical 18: Prediction Of 3D structure Using Threading Technique (I-TASSER) 00:00:00
(Optional) Practical 18.1: Use Of InterPro 00:00:00
(Optional) Practical 20: How To Perform Docking Easily Using Vina 00:00:00
(Optional) Practical 21: How To Analyze The Docking Data 00:00:00
(Optional) Practical 3: ZINC Database For Drug Searching 00:00:00
(Very Important) Practical Learn How To Use Alpha-Fold 00:00:00
Section 5 - Evolutionary Bioinformatics
What Is Evolution And Phylogenetics 00:00:00
Some Important Terms To Understand Phylogenetic Tree 00:00:00
Different Type Of Phylogenetic Trees 00:00:00
Steps To Construct Phylogenetic Tree 00:00:00
Selection Of Molecular Marker For Tree Construction 00:00:00
Alignment For Tree Construction 00:00:00
Evolutionary Model Selection 00:00:00
Methods To Construct Tree 00:00:00
Validation Of Tree By Bootstrapping 00:00:00
Practical 19: Building Phylogenetic Tree 00:00:00
Section 6 - Installation And Setup
Practical 22: How To Install Linux In Windows For Bioinformatics Analysis 00:00:00
Practical 23: How To Install Gromacs In Windows 00:00:00
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