BIOINFORMATICS AND COMPUTATIONAL BIOLOGY

Categories: Bioinformetics, Data & AI
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About Course

Master the essentials of bioinformatics and computational biology

This 64 hour comprehensive course takes you from the fundamentals of computer based data handling to advanced topics in sequence alignment, phylogenetics, genome analysis, and protein structure prediction. Whether you’re a life sciences student, researcher, or educator, you’ll gain the practical skills needed to manage, analyse, and interpret biological data using real world databases and tools.

Course Features

  • Five structured units with clear, topic based lessons
  • Downloadable 30+ page study notebook – perfect for revision and offline learning
  • Quizzes after every unit to test your understanding
  • Real world examples and case studies (human haemoglobin, 16S rRNA phylogeny, kinase modelling)
  • Software agnostic – concepts apply across all popular bioinformatics tools
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What Will You Learn?

  • Understand the core concepts of bioinformatics and the role of relational databases (RDBMS)
  • Transfer biological data securely using FTP, SFTP, and SCP
  • Navigate and retrieve data from major repositories (GenBank, UniProt, PDB, KEGG, GEO)
  • Work with essential file formats (FASTA, GenBank, UniProt flat files)
  • Perform pairwise and multiple sequence alignment (Needleman–Wunsch, Smith–Waterman, BLAST, Clustal)
  • Score alignments correctly using PAM & BLOSUM matrices and affine gap penalties
  • Construct and interpret phylogenetic trees with UPGMA, Neighbor Joining, Maximum Parsimony, and Maximum Likelihood
  • Analyse genome organisation across viruses, prokaryotes, and eukaryotes
  • Apply omics technologies (genomics, transcriptomics, proteomics) and MALDI TOF spectroscopy
  • Predict protein structures through homology modelling, threading, and ab initio methods (including AlphaFold2)
  • Identify structural classes, motifs, folds, and domains (CATH, SCOP, Pfam)

Course Content

Unit 1: Introduction to Computer Fundamentals

  • Lesson 1.1: Bioinformatics Basics
  • Lesson 1.2: Relational Database Management Systems (RDBMS)
  • Lesson 1.3: Data Transfer – FTP, SFTP, SCP
  • Lesson 1.4: Encrypted Data Transfer Advantages
  • Quiz 1 – Computer Fundamentals & Data Transfer

Unit 2 – Bioinformatics and Biological Databases

Unit 3 – Sequence Alignment & Phylogenetics

Unit 4 – Genome Organization & Analysis

Unit 5 – Protein Structure Predictions

Appendices

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