Bioinformatics

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KHUDKIBOOK
BIOINFORMATICS 2160410
FREE PDF 2160410
Code: 2160410 Credits: 5 Semester 6 Biotech

Bioinformatics

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Bioinformatics Syllabus — Unit-wise Content

The official GTU curriculum for Bioinformatics (subject code 2160410) as prescribed for Biotech · Semester 6 divides the course into 5 units, covering 41 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 (2160410)

Unit 1 UNIT I

  • Introduction to bioinformatics Introduction
  • historical overview
  • major databases
  • data management & analysis
  • molecular biology & bioinformatics
  • Information search & data retrieval: Introduction
  • tools for web search
  • data retrieval tools and data mining of biological databases. 08 17.39%

Unit 2 Unit II

  • Pair-wise Sequence Alignment Introduction
  • alignment problems
  • methods of sequence alignments
  • using scoring matrices & measuring sequence detection efficiency
  • Multiple Sequence Alignment: Introduction
  • methods of multiple sequence alignment
  • evaluating multiple alignments
  • applications of multiple sequence alignment & phylogenetic analysis. 06 13.04%

Unit 3 UNIT III

  • Tools for similarity searches & sequence alignment Introduction
  • working with BLAST
  • working with FASTA
  • Filtering and gapped BLAST
  • FASTA and BLAST algorithms comparison Protein Structure Prediction & Visualization: Protein Secondary Structure Prediction
  • Protein Tertiary Structure Prediction
  • Prediction of Protein Function
  • Evaluation of Predicted Structure
  • Visualization Tools: Rasmol
  • RasTop & spdbv 12 26.08%

Unit 4 Unit IV

  • Gene identification & prediction Basis of gene prediction
  • pattern recognition
  • gene prediction methods
  • gene prediction tools
  • Gene expression & microarrays: Introduction
  • DNA microarrays
  • clustering gene expression profiles
  • data source and tools for microarray analysis
  • applications of microarray technology 10 21.74%

Unit 5 Unit V

  • Proteomics Definition
  • 2D- PAGE and MS, Proteomics analysis and protein microarray
  • protein-protein interaction
  • methods of gene family identification Introduction to drug discovery: Areas influencing drug discovery
  • pharmacogenetics & pharmacogenomics applications
  • analysis of SNPs and important parameters in drug discovery. 10 21.74%

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