Heitor Lopes

Universidade Federal de Pelotas Brazil

Heitor S. Lopes is an Associate Professor at Federal University of Technology Paran - UTFPR (Brazil). He graduated in Electronic Engineering (1984) and got a MSc degree in Biomedical Engineering (1990), and a PhD in Information Sciences (1996). In 1998 he founded the Bioinformatics Laboratory at UTFPR and since then bioinformatics is one of his main area of research, with special interest in: protein structure prediction methods and algorithms as well as high-performance computing for bioinformatics applications. He has served as a member of program committees of many international conferences and editorial boards of scientific journals. Since 2002, Dr. Lopes holds a research grant from the Brazilian National Research Council (CNPq) in the area of Computer Science.

Heitor Lopes

1books edited

2chapters authored

Latest work with IntechOpen by Heitor Lopes

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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