Advanced Bioinformatician Course (Subscription)

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About This Course

Advanced Bioinformatician Course Allows You To Develop Advanced Bioinformatician Skills

To become an expert 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 3D structure prediction of proteins to predict the functionalities of newly discovered proteins, as well as, 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.

Owing to the rapid development of faster computer architectures and better algorithms for high-level computations in a time-affordable manner, the impact of computational drug design for novel drug discovery has been intensified. MD simulation analysis is one of the essential steps while designing novel drugs using computational approaches. MD analysis not just evaluates and validates the protein structures, either predicted computationally or experimentally, but also validates the drug-target compatibility by providing various statistical information about the interacting drug-target complex.

In this course you’ll learn from the very basics of Bioinformatics analysis skills including the most commonly utilized biological databases, their features, data retrieval & analysis, to advanced MD simulation & analysis that provides detailed information about the fluctuations and conformational changes in proteins and nucleic acids.

You’ll also learn how to find conserved patterns and variable regions within sequence alignments & analysis and perform phylogenetic analysis to find out the evolutionarily related species/sequences. Along with various in-demand and highly efficient Molecular Docking & Docking complex evaluation tools/web servers, you’ll also be to find out the protein clusters interacting together to perform various biological functions, predict genes or CDS regions from raw DNA sequence, predict, visualize and evaluate 3D structures of proteins to functionally annotate the biological molecules.

You’ll also be able to learn from the very basics of biological programming in Python, BioPython & R to an advanced level understanding of Bioinformatics Scripting, even if you lack prior knowledge.

Joining and learning from the Advanced 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, R and Linux(BASH).

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
Genomic Tools
Molecular Dynamics Simulation
Molecular Dynamics Simulations: GROMACS
Vaccine Development
Introduction to Python
Iterable Objects
Control Flow
File Handling
Functions & Modules
Error Handling
Introduction to BioPython
Sequence Analysis in BioPython
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 BioPthon
R
Linux

Target Audience

  • The target audience for the Advanced 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

354 Lessons50h 20m

Bioinformatics Databases

Introduction to National Center of Biotechnology Information (NCBI)18:02
Exercise
Sequence Analysis17:59
Exercise
Sequence Retrieval from NCBI16:17
Exercise
PubMed Central & ENTREZ11:07
Exercise
GenBank: Nucleotide Database on NCBI6:50
Exercise
FASTA vs GenBank18:26
Exercise
Gene Database: A Comprehensive Gene Database30:21
Exercise
NCBI Genomes & NCBI Assembly: Retrieval of Genomes36:14
Exercise
RefSeq Database: Retrieval of Single Reference Sequences11:16
Exercise
BLAST Database Searching25:37
Exercise
Introduction to Molecular Modeling Database8:07
Exercise
Database of Short Genetic Variations (dbSNP)12:16
Exercise
HomoloGene: Discovery of Gene and Protein Families6:11
Exercise
Taxonomy9:57
Exercise
Introduction to UCSC Genome Browser & SARS-CoV-2 Viral Genome13:40
Exercise
Retrieve an Entire Genome & Retrieval of SARS-CoV-2 Viral Genome9:41
Exercise
Retrieval of Genomic Data & Annotation of SARS-CoV2 Viral Genome5:30
Exercise
Table Browser & SARS-CoV-2 Viral Genome12:16
Exercise
Visualization of Genomic Data on the Genome Browser & SARS-CoV-2 Genome10:51
Exercise
UniProt BLAST – Database Searching12:33
Exercise
UniProt Peptide Search – Find Regions Within UniProt Database3:15
Exercise
Introduction to ENSEMBL7:50
Retrieval of a Gene-Protein-Chromosomal Region18:02
Exercise
Genome Assembly Retrieval and Analysis10:24
Exercise
Gene Analysis & Annotation34:40
Exercise
Variation Analysis24:37
Exercise
ENSEMBL BLAST/BLAT15:08
Regulation – Understand the Influence of Regulatory Elements on Genes4:19
Exercise
Comparative Genomics Analysis5:35
Exercise
Introduction to Phytozome9:39
Exercise
Interpret Plant Genome Records9:07
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 JBrowse17:38
Exercise
UniProt Align – Pairwise & Multiple Sequence Alignment and Annotation3:48
Exercise
UniRef And Retrieve Protein Clusters11:36
Exercise
UniParc And Find the Non-Redundant Entries4:59
Genome Reference Consortium (GRC)7:48
Exercise
BioProject6:40
Exercise
BioSystems4:16
Exercise
BioSample2:56
Exercise
Sequence Read Archive (SRA)7:15
Exercise
Introduction to Gene Expression Omnibus Database9:16
Gene Expression Omnibus – Platforms5:42
Exercise
Gene Expression Omnibus – Samples4:16
Exercise
Gene Expression Omnibus – Series4:01
Exercise
Gene Expression Omnibus – Datasets4:45
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

Molecular Dynamics Simulation

Drug Designing & Discovery

Python

BioPython

R

Linux

R

Evaluation

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$16.79 / month
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Level
All Levels
Duration 50.3 hours
Lectures
354 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: 365 days

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