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 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 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
This book covers the following topics: biological basics needed in
bioinformatics, Pairwise Alignment, Multiple Alignment, Phylogenetics, DNA, RNA,
Transcription, Introns, Exons, and Splicing, Amino Acids.