Bioinformatics
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Follow on Instagram for UpdatesBioinformatics Syllabus — Unit-wise Content
The official GTU curriculum for Bioinformatics (subject code BE04004031) as prescribed for Biotech · Semester 4 divides the course into 4 units, covering 48 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE04004031)Unit 1 Introduction to Bioinformatics
- A brief history and evolution of bioinformatics as a discipline
- Overview of key bioinformatics resources: NCBI (GenBank
- Entrez) and UniProt (Swiss- Prot
- Introduction to biological databases: primary
- secondary, and specialized databases
- Sequence analysis fundamentals: sequence file formats (FASTA
- scoring matrices (PAM
- pairwise sequence alignment (global and local alignments)
- dynamic programming algorithms (Needleman Wunsch
- Multiple sequence alignment techniques (Clustal Omega
- molecular evolution principles
- phylogenetic tree construction methods (Neighbor-Joining
- Maximum Parsimony
- Maximum Likelihood)
- Gene prediction: ab initio methods and evidence-based methods
- Functional annotation strategies using tools like InterProScan
- Pfam, and GO annotation
Unit 2 Structure Databases and Structural Bioinformatics
- Introduction to structure databases: Protein Data Bank (PDB)
- Structural analysis tools: DSSP for secondary structure assignment
- prediction of secondary structural elements (SSEs) using methods like PSIPRED. 3D structure prediction: template-based modeling (homology modeling using SWISS-MODEL
- MODELLER), and template-free (ab initio) methods
- Introduction to deep learning approaches for structure prediction (e.g.
- AlphaFold2 and RoseTTAFold)
- Visualization tools: PyMOL
- Chimera, and validation of structural models (Ramachandran plots
Unit 3 Genomics and Applications
- Basic concepts: genes
- Human genome project and implications for biology and medicine
- Advances in DNA sequencing technologies: Sanger sequencing
- Next-Generation Sequencing (NGS)
- Third- Generation Sequencing (PacBio
- Oxford Nanopore)
- Introduction to evolutionary genomics: gene duplication
- horizontal gene transfer
- genome rearrangements
- Introduction to metagenomics: analyzing microbial communities without culturing
- applications in environment
- industry, and health
- Future trends in genomics: personalized medicine
- synthetic genomics, and genome editing technologies (CRISPR-Cas9). 10 Program Name: Bachelor of Engineering Level: UG Branch: Biotechnology Subject Code: BE04004031 Subject Name: Bioinformatics
Unit 4 Modern Bioinformatics
- AI and Machine Learning Integration: Applications of machine learning in sequence annotation
- structure prediction
- functional genomics, and biomarker discovery
- Introduction to neural networks
- support vector machines (SVM)
- random forests, and deep learning models in bioinformatics
- Systems Biology and Network Bioinformatics
- Structural Bioinformatics with AI, Cloud Computing and Big Data in Bioinformatics
- Data Privacy, and Open Science:
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