Introduction to Bioinformatics by Yildiz Technical University
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Introduction to Bioinformatics by Yildiz Technical University
Introduction to Bioinformatics by Yildiz Technical University
This note
covers the following topics: what is bioinformatics, Path to the bioinformatics, Scope of computational biology, The Central Dogma of
Molecular Biology, Genomics, Proteomics, Killer application, Cells, Signaling
Pathways Control gene activity, DNA the code of life and genetic information
chromosomes.
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 covers the following topics: Biological preliminaries, Analysis of individual sequences, Pairwise sequence
comparison, Algorithms for the comparison of two sequences, Variants of the
dynamic programming algorithm, Practical Sections on Pairwise Alignments,
Phylogenetic Trees and Multiple Alignments and Protein Structure.
Author(s): Max
Planck Institute for Molecular Genetics
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.