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.
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.
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.
The topics of notes in this site are as
follows : Introduction to Bioinformatics, Sequence Alignment, Probabilistic
Sequence Models , Gene Expression Analysis, Protein Structure Prediction.
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
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.
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