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Computational Biology and Applied Bioinformatics
Edited by Heitor Silverio Lopes and Leonardo Magalhães Cruz, ISBN 978-953-307-629-4, Hard cover, 442 pages, Publisher: InTech, Published: September 02, 2011 under CC BY-NC-SA 3.0 license, in subject Numerical Analysis and Scientific Computing
DOI: 10.5772/772
Nowadays it is difficult to imagine an area of knowledge that can continue developing without the use of computers and informatics. It is not different with biology, that has seen an unpredictable growth in recent decades, with the rise of a new discipline, bioinformatics, bringing together molecular biology, biotechnology and information technology. More recently, the development of high throughput techniques, such as microarray, mass spectrometry and DNA sequencing, has increased the need of computational support to collect, store, retrieve, analyze, and correlate huge data sets of complex information. On the other hand, the growth of the computational power for processing and storage has also increased the necessity for deeper knowledge in the field. The development of bioinformatics has allowed now the emergence of systems biology, the study of the interactions between the components of a biological system, and how these interactions give rise to the function and behavior of a living being. This book presents some theoretical issues, reviews, and a variety of bioinformatics applications. For better understanding, the chapters were grouped in two parts. In Part I, the chapters are more oriented towards literature review and theoretical issues. Part II consists of application-oriented chapters that report case studies in which a specific biological problem is treated with bioinformatics tools.
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Book contents
- Chapter 1Molecular Evolution & Phylogeny: What, When, Why & How?
- Chapter 2Understanding Protein Function - The Disparity Between Bioinformatics and Molecular Methods
- Chapter 3In Silico Identification of Regulatory Elements in Promoters
- Chapter 4In Silico Analysis of Golgi Glycosyltransferases: A Case Study on the LARGE-Like Protein Family
- Chapter 5MicroArray Technology - Expression Profiling of MRNA and MicroRNA in Breast Cancer
- Chapter 6Computational Tools for Identification of microRNAs in Deep Sequencing Data Sets
- Chapter 7Computational Methods in Mass Spectrometry-Based Protein 3D Studies
- Chapter 8Synthetic Biology & Bioinformatics Prospects in the Cancer Arena
- Chapter 9An Overview of Hardware-Based Acceleration of Biological Sequence Alignment
- Chapter 10Retrieving and Categorizing Bioinformatics Publications through a MultiAgent System
- Chapter 11GRID Computing and Computational Immunology
- Chapter 12A Comparative Study of Machine Learning and Evolutionary Computation Approaches for Protein Secondary Structure Classification
- Chapter 13Functional Analysis of the Cervical Carcinoma Transcriptome: Networks and New Genes Associated to Cancer
- Chapter 14Number Distribution of Transmembrane Helices in Prokaryote Genomes
- Chapter 15Classifying TIM Barrel Protein Domain Structure by an Alignment Approach Using Best Hit Strategy and PSI-BLAST
- Chapter 16Identification of Functional Diversity in the Enolase Superfamily Proteins
- Chapter 17Contributions of Structure Comparison Methods to the Protein Structure Prediction Field
- Chapter 18Functional Analysis of Intergenic Regions for Gene Discovery
- Chapter 19Prediction of Transcriptional Regulatory Networks for Retinal Development
- Chapter 20The Use of Functional Genomics in Synthetic Promoter Design
- Chapter 21Analysis of Transcriptomic and Proteomic Data in Immune-Mediated Diseases
- Chapter 22Emergence of the Diversified Short ORFeome by Mass Spectrometry-Based Proteomics
- Chapter 23Acrylamide Binding to Its Cellular Targets: Insights from Computational Studies
