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Bioinformatics - Trends and Methodologies
Edited by Mahmood A. Mahdavi, ISBN 978-953-307-282-1, Hard cover, 722 pages, Publisher: InTech, Published: November 02, 2011 under CC BY 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/786
Bioinformatics - Trends and Methodologies is a collection of different views on most recent topics and basic concepts in bioinformatics. This book suits young researchers who seek basic fundamentals of bioinformatic skills such as data mining, data integration, sequence analysis and gene expression analysis as well as scientists who are interested in current research in computational biology and bioinformatics including next generation sequencing, transcriptional analysis and drug design. Because of the rapid development of new technologies in molecular biology, new bioinformatic techniques emerge accordingly to keep the pace of in silico development of life science. This book focuses partly on such new techniques and their applications in biomedical science. These techniques maybe useful in identification of some diseases and cellular disorders and narrow down the number of experiments required for medical diagnostic.
This book is indexed in:
Book contents
- Chapter 1Concepts, Historical Milestones and the Central Place of Bioinformatics in Modern Biology: A European Perspective
- Chapter 2Data Integration in Bioinformatics: Current Efforts and Challenges
- Chapter 3Semantic Data Integration on Biomedical Data Using Semantic Web Technologies
- Chapter 4Vector Space Information Retrieval Techniques for Bioinformatics Data Mining
- Chapter 5Massively Parallelized DNA Motif Search on FPGA
- Chapter 6A Pattern Search Method for Discovering Conserved Motifs in Bioactive Peptide Families
- Chapter 7Database Mining: Defining the Pathogenesis of Inflammatory and Immunological Diseases
- Chapter 8Data Mining Pubmed Identifies Core Signalings and miRNA Regulatory Module in Glioma
- Chapter 9Significance Score of Motifs in Biological Sequences
- Chapter 10A Systematic and Thorough Search for Domains of the Scavenger Receptor Cysteine-Rich Group-B Family in the Human Genome
- Chapter 11Assessing Multiple Sequence Alignments Using Visual Tools
- Chapter 12Optimal Sequence Alignment and Its Relationship with Phylogeny
- Chapter 13Predicting Virus Evolution
- Chapter 14A Bioinformatical Approach to Study the Endosomal Sorting Complex Required for Transport (ESCRT) Machinery in Protozoan Parasites: The Entamoeba histolytica Case
- Chapter 15Structural Bioinformatics Analysis of Acid Alpha-Glucosidase Mutants with Pharmacological Chaperones
- Chapter 16Bioinformatics Domain Structure Prediction and Homology Modeling of Human Ryanodine Receptor 2
- Chapter 17Identifying Enzyme Knockout Strategies on Multiple Enzyme Associations
- Chapter 18Using Bacterial Artificial Chromosomes to Refine Genome Assemblies and to Build Virtual Genomes
- Chapter 19Basidiomycetes Telomeres – A Bioinformatics Approach
- Chapter 20SNPpattern: A Genetic Tool to Derive Haplotype Blocks and Measure Genomic Diversity in Populations Using SNP Genotypes
- Chapter 21Algorithms for CpG Islands Search: New Advantages and Old Problems
- Chapter 22Translational Oncogenomics and Human Cancer Interactomics: Advanced Techniques and Complex System Dynamic Approaches
- Chapter 23In-silico Approaches for RNAi Post-Transcriptional Gene Regulation: Optimizing siRNA Design and Selection
- Chapter 24MicroRNA Targeting in Heart: A Theoretical Analysis
- Chapter 25Genome-Wide Identification of Estrogen Receptor Alpha Regulated miRNAs Using Transcription Factor Binding Data
- Chapter 26Quantification of Gene Expression Based on Microarray Experiment
- Chapter 27On-Chip Living-Cell Microarrays for Network Biology
- Chapter 28Novel Machine Learning Techniques for Micro-Array Data Classification
- Chapter 29Deep Sequencing Data Analysis: Challenges and Solutions
- Chapter 30Whole Genome Annotation: In Silico Analysis
- Chapter 31Designing of Anti-Cancer Drug Targeted to Bcl-2 Associated Athanogene (BAG1) Protein
