Basic Bioinformatician Course

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Basic Bioinformatician Course Allows You To Develop The Basic Bioinformatician Skills

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.

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 involves computationally analyzing biological datasets.

In this course you’ll learn the very basics of most commonly utilized biological databases, how to find conserved and variable regions within sequence alignments & analysis and do evolutionary & phylogenetic analysis. 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 Basic 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
  • Phylogenetic Tree Building & Visualization
  • Secondary Structure Prediction
  • Protein Analysis
  • Genomics Tools
  • Introduction to Python
  • Iterable Objects
  • Control Flow in Python
  • File Handling
  • Functions & Modules
  • Introduction to R
  • Variables & Functions
  • Vectors & Data Types
  • Packages
  • Biological Data Analysis
  • Control Flow in R

Course Content

Bioinformatics Databases

  • 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 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
    05:28
  • Introduction to ENSEMBL
    07:50
  • Retrieval of a Gene-Protein-Chromosomal Region
    18:02
  • Introduction to Phytozome
    09:39
  • Interpret Plant Genome Records
    09:07
  • Download an Entire Plant Genome & Proteome
    26:41

Bioinformatics File Formats

Protein Databases & Analysis

Sequence Alignment & Analysis

Phylogenetic Analysis

Genomics Tools

Python

R

Evaluation

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