This note covers the following
topics: Gene Prediction, Three approaches to gene finding, Gene prediction in
prokaryotes, Eukaryotic gene structure, A simple HMM for gene detection, GENSCAN
optimizes a probability model and example of Genscan summary output.
The topics of notes in this site are as
follows : Introduction to Bioinformatics, Sequence Alignment, Probabilistic
Sequence Models , Gene Expression Analysis, Protein Structure Prediction.
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 explains the relationship between biology, bioinformatics
and computer science and shows the computational approaches used in
bioinformatics.