A Bioinformatics Study of Human Transcriptional Regulation
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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 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.
This
note covers the following topics: Biological preliminaries, Analysis of individual sequences, Pairwise sequence
comparison, Algorithms for the comparison of two sequences, Variants of the
dynamic programming algorithm, Practical Sections on Pairwise Alignments,
Phylogenetic Trees and Multiple Alignments and Protein Structure.
Author(s): Max
Planck Institute for Molecular Genetics
This note describes the computational challenges in
structural biology and explains the computational methods for analysing and
predicting macromolecular conformations and interactions and gives practice in
programming techniques for structural bioinformatics.