Introductory Bioinformatician Course

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About This Course

Introductory Bioinformatician Course Allows You To Level-up Your Bioinformatician Skills From Basic to Introductory Level

Being a Bioinformatician means you’ve to 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.

One of the biggest applications of Bioinformatics is the prediction of 3D structures of biological molecules from their (1D) linear sequences. It is important to analyze the protein structures, because of the fact that the structural features of proteins can shed light on their biological functions.

To efficiently deal with huge genomic and proteomic data often requires writing short scripts or patches of code to computationally analyze the biological datasets, rather than comparing and analyzing such huge datasets manually. Hence, the major part of Bioinformatics revolves around analyzing biological datasets computationally.

In this course you’ll learn the fundamentals of Bioinformatics. 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. You’ll also be able to write your first script in Python & R, Python data structures such as lists, strings, dictionaries and various built-in functions and packages provided by R. Along with, how to read/write Bioinformatics files, work with loops and how to control the flow of your program and script.

Joining and learning from the Introductory 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 Introductory 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

163 Lessons31h 45m

Bioinformatics Databases

Introduction to National Center of Biotechnology Information (NCBI)18:02
Exercise
Sequence Analysis17:59
Exercise
Sequence Retrieval from NCBI16:17Preview
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-CoV-2 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
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 & Annotation00:34:40
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
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
Introduction to Gene Expression Omnibus Database00:09:16
Gene Expression Omnibus – Platforms00:05:42
Exercise
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

Gene Prediction

PPI Database

Genomics Tools

Python

R

Evaluation

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$43.39$61.99

30% off
Level
All Levels
Duration 31.8 hours
Lectures
163 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: Lifetime

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