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Bioinformatics Sequence Analysis and Phylogenetics Lecture Notes (PDF 190P)
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.
Author(s): Sepp Hochreiter
180 Pages 
Micorarray Methodology and Analysis
This site hold 9 lectures on various topics related to Micorarray Methodology and Analysis such as Introduction to microarray technology, Image Processing for Pedestrians, Differential Expression, Microarray Normalization, Clustering and Classification, etc.
Author(s): M. Saleet Jafri, Program in Bioinformatics and Computational Biology, George Mason University
NA Pages
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
NA Pages
This book is intended to serve both as a textbook for short bioinformatics courses and as a base for a self teaching endeavor. It is divided in two parts: A. Bioinformatics Techniques and B. Case Studies. Each chapter of the first part addresses a specific problem in bioinformatics and consists of a theoretical part and of a detailed tutorial with practical applications of that theory using software freely available on the Internet.
Author(s): Chanchal Kumar
197 Pages
Online Lectures on Bioinformatics
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
NA Pages
Introducing Bioinformatics Concepts in CS1
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.
Author(s): Erica Eddy
9 Pages
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Author(s): NA
NA Pages
Learn about Bioinformatics and Computational Tools for Biology
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Author(s): NA
NA Pages
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Author(s): NA
NA Pages
Introduction to Programming for Bioinformatics in Python
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Author(s): NA
NA Pages
BIOINFORMATICS lecture Notes Online
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Author(s): NA
NA Pages