Extensive Bioinformatician Course

admin

About This Course

Extensive Bioinformatician Course Allows You To Level-up Your Bioinformatician Skills From Basic To Intermediate Level

The major part of Bioinformatics revolves around analyzing biological datasets computationally, which often requires writing short scripts or patches of code to computationally analyze the biological datasets, rather than comparing and analyzing such huge datasets manually.

Being a Bioinformatician, one must learn how to retrieve and analyze biological data in the most efficient way, to learn how to align & analyze biological sequences to predict the evolutionary histories between them, to find out the conserved patterns, to learn how to predict coding regions or genes from a raw nucleotide sequence, and much more.

A bioinformatician must develop the skills to predict a good 3D structure of biological macromolecules, especially proteins, to predict the functionalities of newly discovered proteins, as well as, to to predict the molecular interactions for generating virtual simulations according to their molecular interactional information of a chemical/biological ligand & the receptor, which aids in the identification of lead compound in drug discovery & development.

In this course you’ll be able to level-up your Bioinformatician skills. Along with the most commonly utilized biological databases, how to find conserved patterns and variable regions within sequence alignments & analysis and perform phylogenetic analysis to find out the evolutionarily related species/sequences, you’ll also be able to predict, visualize and evaluate 3D structures of proteins and to predict molecular interactions between chemical/biological ligands & the receptor molecules, you’ll also be able to evaluate the conformations of the docked complex.

You’ll also be able to level-up your Biological programming skills in Python, BioPython & R. Along with the basics of biological programming in Python & R languages, you’ll learn how to read/write Bioinformatics files, work with various modules and built-in functions of BioPython for biological data retrieval, analysis and more.

Joining and learning from the Extensive Bioinformatician Course can enhance your biological career by learning through various useful & informative pre-recorded lectures on Bioinformatics tools, databases, servers and biological programming in Python.

Learning Objectives

NCBI
Sequence Format
UCSC
UniProt
PDB
ENSEMBL
InterPro
Phytozome
Pairwise Sequence Alignment & Analysis
Multiple Sequence Alignment & Analysis
Alignment Format
Sequence Analysis
Phylogenetic Analysis
Phylogenetic Tree Visualization & Analysis
Secondary Structure Prediction
Protein Analysis
Protein Family Database
Motif & Domain Analysis
3D Structure Prediction
3D Structure Visualization
3D Structure Evaluation
Molecular Docking
Docking Complex Evaluation
Gene Prediction
PPI Database
Genomics Tools
Introduction to Python
Iterable Objects
Control Flow
File Handling
Functions & Modules
Error Handling
Introduction to BioPython
Sequence Analysis in ByoPython
Sequence Data Parsing
Sequence Data Extraction
Alignment Parsing and Analysis
BLAST Database Searching
Parsing BLAST results
Biological Data Retrieval
Parsing a PDB Structure file
Phylogenetic Analysis in ByoPython
Protein Sequence Analysis
Introduction to R
Variables & Functions
Vectors & Data Types
Packages in R
Biological Data Analysis
Control Flow in R
Data Visualization: ggplot2

Target Audience

  • The target audience for the Intermediate Bioinformatician Course are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
  • However, a superficial understanding of molecular biology and 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.

Curriculum

260 Lessons39h 50m

Bioinformatics Databases

Introduction to National Center of Biotechnology Information (NCBI)18:02
Exercise
Sequence Analysis00:17:59
Exercise
Sequence Retrieval from NCBI00:16:17
Exercise
PubMed Central & ENTREZ00:11:07
Exercise
GenBank: Nucleotide Database on NCBI00:06:50
Exercise
FASTA vs GenBank00:18:26
Exercise
Gene Database: A Comprehensive Gene Database00:30:21
Exercise
NCBI Genomes & NCBI Assembly: Retrieval of Genomes00:36:14
Exercise
RefSeq Database: Retrieval of Single Reference Sequences00:11:16
Exercise
BLAST Database Searching00:25:37
Exercise
Introduction to Molecular Modeling Database00:08:07
Exercise
Database of Short Genetic Variations (dbSNP)00:12:16
Exercise
HomoloGene: Discovery of Gene and Protein Families00:06:11
Exercise
Taxonomy00:09:57
Exercise
Introduction to UCSC Genome Browser & SARSCoV-2 Viral Genome00:13:40
Exercise
Retrieve an Entire Genome & Retrieval of SARS-CoV-2 Viral Genome00:09:41
Exercise
Table Browser & SARS-CoV-2 Viral Genome00:12:16
Exercise
Retrieval of Genomic Data & Annotation of SARS-CoV-2 Viral Genome00:05:30
Exercise
Visualization of Genomic Data on the Genome Browser & SARS-CoV-2 Genome00:10:51
Exercise
UniProt BLAST – Database Searching00:12:33
UniProt Peptide Search – Find Regions Within UniProt Database00:03:15
Introduction to ENSEMBL00:07:50
Retrieval of a Gene-Protein-Chromosomal Region00:18:02
Exercise
Genome Assembly Retrieval and Analysis00:10:24
Exercise
Gene Analysis & Annotation34:40
Exercise
Variation Analysis00:24:37
Exercise
ENSEMBL BLAST/BLAT00:15:08
Regulation – Understand the Influence of Regulatory Elements on Genes00:04:19
Exercise
Comparative Genomics Analysis00:05:35
Exercise
Introduction to Phytozome00:09:39
Exercise
Interpret Plant Genome Records00:09:07
Exercise
Download an Entire Plant Genome & Proteome00:26:41
Exercise
Keyword or BLAST Search in a Plant Genome00:15:58
Exercise
Visualize a Plant Genome Using JBrowse00:17:38
Exercise
UniProt Align – Pairwise & Multiple Sequence Alignment and Annotation00:03:48
UniRef And Retrieve Protein Clusters00:11:36
UniParc And Find the Non-Redundant Entries00:04:59
Genome Reference Consortium (GRC)00:07:48
Exercise
BioProject00:06:40
Exercise
BioSystems00:04:16
Exercise
BioSample00:02:56
Exercise
Sequence Read Archive (SRA)00:07:15
Exercise
Gene Expression Omnibus – Platforms00:05:42
Exercise
Introduction to Gene Expression Omnibus Database00:09:16
Gene Expression Omnibus – Samples00:04:16
Exercise
Gene Expression Omnibus – Series00:04:01
Exercise
Gene Expression Omnibus – Datasets00:04:45
Exercise

Bioinformatics File Formats

Protein Databases & Analysis

Sequence Alignment & Analysis

Phylogenetic Analysis

Secondary Structure Prediction

3D Structure Prediction

3D Structure Visualization

3D Structure Evaluation

Molecular Docking

Docking Complex Evaluation

Gene Prediction

PPI Database

Genomics Tools

Python

BioPython

R

Evaluation

Write a review

$83.99$119.99

30% off
Level
All Levels
Duration 39.8 hours
Lectures
260 lectures
Language
English

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
Compare
Wishlist 0
Open wishlist page Continue shopping