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Introduction to Bioinformatics (PDF 23p)
This note provides a very basic introduction to bioinformatics computing and includes background information on computers in general, the fundamentals of the UNIX/Linux operating system and the X environment, client/server computing connections, and simple text editing.
Author(s): Steven M. Thompson
23 Pages 
Computational Biology Biostatistics
The topics of notes in this site are as follows : Introduction to Bioinformatics, Sequence Alignment, Probabilistic Sequence Models , Gene Expression Analysis, Protein Structure Prediction.
Author(s): Burr Settles
NA 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
A Bioinformatics Study of Human Transcriptional Regulation
This PDF thesis A Bioinformatics Study of Human Transcriptional Regulation covers the following topics related to Bioinformatics : Biological background, DNA and chromosomes, Transcription, Transcriptional regulation, Medical aspects of transcriptional regulation, High-throughput technologies, DNA microarrays, Massively parallel sequencing, Biological knowledge sources, Annotations, Experimental data, Aims, Methods, Computational methods, Statistics Randomization, Local search, Analysis of high-throughput data, Experiment design, Expression analysis, ChIP-chip data analysis, ChIP-seq data analysis, Data storage and management, Results and discussion, Summary of results, Computational results, Biological results, Medical results, Additional results, Discussion.
Author(s): Adam Ameur
54 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
Bioinformatics II Theoretical Bioinformatics and Machine Learning (PDF 394)
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.
Author(s): Sepp Hochreiter
400 Pages
Algorithms in Bioinformatics (PDF 82p)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Algorithms in Bioinformatics (PDF 87P)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Introduction to Bioinformatics (online Lecture Materials)
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Bioinformatics, Sequence and Structural Alignment
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
Bioinformatics An Introduction
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA PagesAdvertisement
