Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.
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Dr. Pandjassarame Kangueane is Director of Biomedical Informatics (P) Ltd, India, Chief Editor, Bioinformation, India and Associate Editor, BMC Bioinformatics, UK. He served as a professor at the Department of Biotechnology at AIMST University, Malaysia (2009-2011), visiting professor at VIT University, India (2007-2009), assistant professor at NTU, Singapore (2002-2006) and visiting scientist (S*Bio Pte Ltd) at the Chiron Corporation (2001), USA. His research interest is in bioinformatics and biotechnology, particularly HLA-based peptide vaccine design, protein-protein interactions, lipase (an enzyme) engineering and genome biology. He has received various prestigious awards, notably the Indian Leadership award for Industrial Development from the All India Achievers Foundation, Vishal Bharathi award with the Bharath Jothi award from the GOPIO, France and was made an Ambassador for Peace by the Universal Peace Federation for his contribution to science and technology. He hasserved as referee for a number of international journals, including Bioinformatics (UK), Nucleic Acids Research (UK), Vaccines (USA), Plos ONE (USA), BMC Genomics (UK), the Journal of Molecular Modeling & Graphics (USA) and BMC Bioinformatics. He has more than 15 years of teaching experience in bioinformatics, bioprocess technology, biotechnology and computing. He has also published more than 50 research articles in peer-reviewed international journals and authored or co-authored numerous books and book chapters. He is a member of numerous international scientific societies and organizations, such as APBioNet, Singapore, the Agro Informatics Society and the Biomedical Informatics Society, India. Ms. Christina Nilofer is a scientist at Biomedical Informatics (P) Ltd. She continued her postgraduate studies at Stella Maris College (Autonomous), Madras University, Chennai, India and is currently completing her doctorate in Biotechnology at VIT University, Vellore, India. She has served as researcher in biotechnology (Saksin Lifesciences (P) Ltd) and bioinformatics (Genome Life Sciences (P) Ltd) industries. She has authored and co-authored two book chapters and published two articles in peer-reviewed journals.
Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material. 192 pp. Englisch. Bestandsnummer des Verkäufers 9781489983183
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Taschenbuch. Zustand: Neu. Bioinformation Discovery | Data to Knowledge in Biology | Pandjassarame Kangueane | Taschenbuch | xxv | Englisch | 2014 | Springer | EAN 9781489983183 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Bestandsnummer des Verkäufers 104987698
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Bioinformation Discovery illustrates the power of biological data in knowledge discovery. It describes biological data types and representations with examples for creating a workflow in Bioinformation discovery. The concepts in knowledge discovery from data are illustrated using line diagrams. The principles and concepts in knowledge discovery are used for the development of prediction models for simulations of biological reactions and events. Advanced topics in molecular evolution and cellular & molecular biology are addressed using Bioinformation gleaned through discovery. Each chapter contains approximately 10 exercises for practice. This will help students to expand their problem solving skills in Bioinformation Discovery. Each chapter concludes with a number of good problem sets to test mastery of the material.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 192 pp. Englisch. Bestandsnummer des Verkäufers 9781489983183
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