Bioanalytical Techniques and Bioinformatics

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

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

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 and Proteomics

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