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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.
Author(s): Yildiz Technical University
121 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
Foundations of Bioinformatics and Systems Biology
The contents in this site includes the following topics : The complete course is comprised of three modules covering Foundations of Bioinformatics, Statistics in Bioinformatics, Systems Biology. These modules holds the following contents : Introduction to bioinformatics, Sequence Alignment and Database Searching, Structural Bioinformatics, Genome Informatics: High Throughput Sequencing Applications and Analytical Methods, Approaches to statistical estimation and testing, Statistical estimation and hypothesis testing, Analyses involving associations, Pearson correlation, t-test, and log odds ratios, Linear regression, Regression models, Introduction to graphical methods for multivariate data analysis, Clustering and principal component analysis, Introduction to systems biology, Epigenome data mining to understand disease predisposition, Computational clinical decision support systems, Application of systems biology to translational medicine.
Author(s): University of Michigan
NA Pages
Bioinformatics Introduction by Mark Gerstein
This note covers the following topics: Molecular Biology, Molecular Biology Information - DNA, Protein Sequence, Macromolecular Structure and Protein Structure Details, Gene Expression Datasets, New Paradigm for Scientific Computing, General Types of Informatics in Bioinformatics, Genome Sequence, Protein Sequence, Major Application: Designing Drugs, Finding Homologues, Genome Characterization.
Author(s): Mark Gerstein
NA 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
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
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
NA Pages
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
