Introductory Bioinformatician Course

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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.

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What Will You Learn?

  • 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

Course Content

Bioinformatics Databases

  • Introduction to National Center of Biotechnology Information (NCBI)
    18:02
  • Sequence Analysis
    17:59
  • Sequence Retrieval from NCBI
    16:17
  • PubMed Central & ENTREZ
    11:07
  • GenBank: Nucleotide Database on NCBI
    06:50
  • FASTA vs. GenBank
    18:26
  • Gene Database: A Comprehensive Gene Database
    30:21
  • NCBI Genomes & NCBI Assembly: Retrieval of Genomes
    36:14
  • RefSeq Database: Retrieval of Single Reference Sequences
    11:16
  • BLAST Database Searching
    25:37
  • Introduction to Molecular Modeling Database
    08:07
  • Database of Short Genetic Variations (dbSNP)
    12:16
  • HomoloGene: Discovery of Gene and Protein Families
    06:11
  • Taxonomy
    09:57
  • Introduction to UCSC Genome Browser & SARS-CoV-2 Viral Genome
    13:40
  • Retrieve an Entire Genome & Retrieval of SARS-CoV-2 Viral Genome
    09:41
  • Retrieval of Genomic Data & Annotation of SARS-CoV-2 Viral Genome
    05:30
  • Table Browser & SARS-CoV-2 Viral Genome
    12:16
  • Visualization of Genomic Data on the Genome Browser & SARS-CoV-2 Genome
    10:51
  • Introduction to ENSEMBL
    07:50
  • Retrieval of a Gene-Protein-Chromosomal Region
    18:02
  • Genome Assembly Retrieval and Analysis
    10:24
  • Gene Analysis & Annotation
    34:40
  • Variation Analysis
    24:37
  • ENSEMBL BLAST/BLAT
    15:08
  • Regulation – Understand the Influence of Regulatory Elements on Genes
    04:19
  • Comparative Genomics Analysis
    05:35
  • Introduction to Phytozome
    09:39
  • Interpret Plant Genome Records
    09:07
  • Download an Entire Plant Genome & Proteome
    26:41
  • Keyword or BLAST Search in a Plant Genome
    15:58
  • Visualize a Plant Genome Using JBrowse
    17:38
  • Genome Reference Consortium (GRC)
    07:48
  • BioProject
    06:40
  • BioSystems
    04:16
  • BioSample
    02:56
  • Sequence Read Archive (SRA)
    07:15
  • Introduction to Gene Expression Omnibus Database
    09:16
  • Gene Expression Omnibus – Platforms
    05:42
  • Gene Expression Omnibus – Samples
    04:16
  • Gene Expression Omnibus – Series
    04:01
  • Gene Expression Omnibus – Datasets
    04:45

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

Exercise

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