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Introduction to Bioinformatics for Medical Research
This note introduces a wide range of bioinformatics tools and concepts for application in medical research. This note is data-centric and focuses on practical use but introduces a few basic theoretical issues too. Topics covered includes: Introduction to Data Formats, Genomic Sequence Alignment, Protein Sequence Alignment, Advanced BLAST , Motifs and Motif Finding, Motif Databases and Gene Finding, Multiple Alignment and Phylogeny, Protein Secondary Structure, Protein Tertiary (3D) Structure, Microarrays and Expression Data,The Human Genome Project, Probe Design and Gene Networks, Genetic Mapping.
Author(s): Israel Institute of Technology
NA Pages 
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
Bioinformatics by Nakaya Helder
This page covers the following topics related to Bioinformatics : Text Mining Gene Selection to Understand Pathological Phenotype Using Biological Big Data, Single-Cell RNA Sequencing Procedures and Data Analysis, Computational Methods for Detecting Large-Scale Structural Rearrangements in Chromosomes, Machine Learning Approaches for Biomarker Discovery Using Gene Expression Data, Bayesian Inference of Gene Expression, Comprehensive Evaluation of Error-Correction Methodologies for Genome Sequencing Data, Plant Transcriptome Assembly: Review and Benchmarking,WeMine Aligned Pattern Clustering System for Biosequence Pattern Analysis, Rational Design of Profile Hidden Markov Models for Viral Classification and Discovery, Pattern Discovery and Disentanglement for Aligned Pattern Cluster Analysis and Protein Binding Complexes Detection.
Author(s): Nakaya Helder I., PhD.
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
Algorithms in Bioinformatics (PDF 82p)
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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
Algorithms in Bioinformatics (PDF 87P)
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Author(s): NA
NA Pages
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Author(s): NA
NA Pages
Introduction to Bioinformatics (online Lecture Materials)
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Author(s): NA
NA Pages
Currently this section contains no detailed description for the page, will update this page soon.
Author(s): NA
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