BM2024 BIOINFORMATICS Lecture Notes for BME - seventh (7th) semester
BM2024 Lecture Notes
UNIT I BIOINFORMATICS
Introduction, Overview of structural Bioinforamtics ; Characteristics, Categories,
Navigation and information retrieval of Bioinformatics databases,
UNIT II DATABASES
Description and Organisation of Sequence, Structure and Other databases; Database
Warehousing and data mining in Bioinformatics.
UNIT III TOOLS
Need for tools, Knowledge discovery, Industry trends and data mining tools; Data
submission tools, Data analysis tools, Prediction tools and modeling tools.
UNIT IV MACHINE LEARNING IN BIOINFORMATICS
Neural network, Genetic and fuzzy logic applications in Bioinformaitcs; Modeling for
Bioinformatics – Hidden Markov, Comparative, probabilistic and molecular modeling
UNIT V ALGORITHMS
Classification algorithms, implementing algorithms , biological algorithms, bioinformatics
tasks and corresponding algorithms and algorithms and bioinformatics software; Data
analysis algorithms – Sequence comparison, Substitution matrices and sequence
alignment optimal algorithm; Prediction algorithms – Gene prediction, Phylogenetic
prediction and protein structure prediction algorithms.