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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
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
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
Introduction to Bioinformatics Lecture
This note explains the following topics: What is bioinformatics, Molecular biology primer, Biological words, Sequence assembly, Sequence alignment, Fast sequence alignment using FASTA and BLAST, Genome rearrangements, Motif finding, Phylogenetic trees and Gene expression analysis.
Author(s): Esa Pitkanen
431 Pages
Bioanalytical Techniques and Bioinformatics
This note explains the following topics: Modern approaches in Bioanalysis and Bioassays, Spectroscopic techniques: UV-Visible spectroscopy, Fluorescence spectroscopy, IR spectroscopy, CD spectroscopy, and Mass spectroscopy, Light Microscopy; Fluorescence microscopy, Atomic force microscope, Electron microscope, Scanning electron microscopy, Transmission Electron microsope, Application of microscope in analyzing biological samples.
Author(s): NPTEL
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
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
This note describes the computational challenges in structural biology and explains the computational methods for analysing and predicting macromolecular conformations and interactions and gives practice in programming techniques for structural bioinformatics.
Author(s): Graham Kemp and Per-Georg Nyholm
NA Pages
Online Lectures on Bioinformatics
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
