This note explains the
following topics: Modern approaches in Bioanalysis and Bioassays, Spectroscopic
techniques: UV-Visible spectroscopy, Fluorescence spectroscopy, IR spectroscopy,
CD spectroscopy, and Mass spectroscopy, Light Microscopy; Fluorescence
microscopy, Atomic force microscope, Electron microscope, Scanning electron
microscopy, Transmission Electron microsope, Application of microscope in
analyzing biological samples.
This note explains the
following topics: What is bioinformatics, Molecular biology primer, Biological
words, Sequence assembly, Sequence alignment, Fast sequence alignment using
FASTA and BLAST, Genome rearrangements, Motif finding, Phylogenetic trees and
Gene expression analysis.
This note provides a hands-on approach to students in the
topics of bioinformatics and proteomics. Topics covered includes: sequence
analysis, microarray expression analysis, Bayesian methods, control theory,
scale-free networks, and biotechnology applications.
Author(s): Prof. Gil Alterovitz, Prof. Manolis Kellis and
Prof. Marco Ramoni
This book covers
the following topics: Machine Learning in Bioinformatics, Theoretical
Background of Machine Learning, Support Vector Machines, Error Minimization and
Model Selection, Neural Networks, Bayes Techniques, Feature Selection, Hidden
Markov Models.
This note describes the computational challenges in
structural biology and explains the computational methods for analysing and
predicting macromolecular conformations and interactions and gives practice in
programming techniques for structural bioinformatics.