Inferences of Transcriptional and Translational Regulatory Modules for Systems Biology: A Review (original) (raw)
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Introduction: Computational Biology in 14 Brief Paragraphs
1. Computational biology has been a marvelous experience for at least three generations of the brightest scientists of the second half of the twentieth century and continues to be so in the twenty-first century. Simply speaking, computational biology is the science of biology done with the use of computers. Because computers require some specialized knowledge of the cultural and technical infrastructure in which they can be used, computational biology is significantly motivated (or even inspired) by computer science and its engineering variant known as information technology. On the other hand, the kind of data and data structures that can be processed by computers provide practical constraints on the selection of computational biology research topics. For instance, it is easier to analyze sequences of biopolymers with string processing techniques and statistics than to infer unknown biological functions from the unknown three-dimensional structures of the same biopolymers by using image processing tools. Similarly, it is advisable to study systems of chemical reactions (including metabolic pathways) in terms MD: KONOPKA, JOB: 04359, PAGE: 1 1 0982-9_Konopka_Ch01_R2_070204
Preface: Computational Systems-Biology and Bioinformatics
Procedia Computer Science, 2012
Systems biology and bioinformatics are widely recognized as the fields of biological science that have been developed very rapidly in this century. In these fields, there is a much-needed development of computational tools to deal with a monumental amount of genomic and post-genomic data, aiming at systems-level understanding in biology. The Third International Conference on Computational Systems-Biology and Bioinformatics (CSBio 2012) was organized to provide scientists and researchers in the area of computational systems biology and bioinformatics with a forum to share and exchange their knowledge and experiences. Besides, CSBio 2012 was the venue for all participants to survey the current status of development of research works on the application of computational systems biology and bioinformatics in the biotechnological fields: agriculture, energy and environment, as well as medicine. CSBio 2012 was co-organized by King Mongkut's University of Technology, Thonburi (KMUTT) and the National Center of Genetic Engineering and Biotechnology (BIOTEC), and it was held on October 3-5, 2012, at the Centara Grand,
TOPICS IN COMPUTATIONAL BIOLOGY
Owing to misleading press reports and promotional activity by software manufacturers, computational biology is often identified with molecular biology software development. Because of this misconception I find it (once again!) timely to mention that computational biology is a young, but distinct field of science with its own basic research and application components. Software engineering sometimes corresponds to the application component, but often does not have any traceable relation to computational biology (such as in the case of sequence/text editing programs). This statement by no means implies that writing computer programs is not a decent and needed occupation. It only emphasizes that this occupation is in most cases different from doing scientific research.