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.
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 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
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 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