A Bioinformatics Study of Human Transcriptional Regulation
A Bioinformatics Study of Human Transcriptional Regulation
A Bioinformatics Study of Human Transcriptional Regulation
This
PDF thesis A Bioinformatics Study of Human Transcriptional Regulation covers the
following topics related to Bioinformatics : Biological
background, DNA and chromosomes, Transcription, Transcriptional regulation,
Medical aspects of transcriptional regulation, High-throughput technologies, DNA
microarrays, Massively parallel sequencing, Biological knowledge sources,
Annotations, Experimental data, Aims, Methods, Computational methods, Statistics
Randomization, Local search, Analysis of high-throughput data, Experiment
design, Expression analysis, ChIP-chip data analysis, ChIP-seq data analysis,
Data storage and management, Results and discussion, Summary of results,
Computational results, Biological results, Medical results, Additional results,
Discussion.
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.
This
PDF thesis A Bioinformatics Study of Human Transcriptional Regulation covers the
following topics related to Bioinformatics : Biological
background, DNA and chromosomes, Transcription, Transcriptional regulation,
Medical aspects of transcriptional regulation, High-throughput technologies, DNA
microarrays, Massively parallel sequencing, Biological knowledge sources,
Annotations, Experimental data, Aims, Methods, Computational methods, Statistics
Randomization, Local search, Analysis of high-throughput data, Experiment
design, Expression analysis, ChIP-chip data analysis, ChIP-seq data analysis,
Data storage and management, Results and discussion, Summary of results,
Computational results, Biological results, Medical results, Additional results,
Discussion.
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.
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.
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