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: biological basics needed in
bioinformatics, Pairwise Alignment, Multiple Alignment, Phylogenetics, DNA, RNA,
Transcription, Introns, Exons, and Splicing, Amino Acids.
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
This note explains the basic bioinformatics concepts via a closed lab
exercise and a programming project. Also discusses the implementation of these
activities and some of the results/lessons we learned.