This new edition continues to illustrate 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. In this new edition, there are three new chapters covering single nucleotide polymorphism, genes, proteins and disease, and protein functions driven by surface electrostatics.

Autorentext
Dr. P. Kangueane (born on November 09, 1974) went to Petit Seminarie Higher Secondary School, Pondicherry (a French colony in pre-independence India), India. He was awarded the merit award by the Education Department, Government of Pondicherry for 1991 Metriculation Science Top ranker. He graduated with the B. Tech degree in Industrial Biotechnology with first class (distinction) from the Centre for Biotechnology (CBT), ANNA University in 1997. During 1993-1997 he worked on lipase production, assay and its application in ibuprofen biotransformation. He was awarded PhD in 2001 by National University of Singapore (NUS) for his work on short peptide vaccine design and GvHD related to Bone Marrow Transplantation (BMT). He served as Scientist (2001) at S*BIO Pte Ltd, Singapore, Visiting Scientist for Technology Transfer (2001) at Chiron Corporation Emeryville, Bay Area, California, USA, Assistant Professor of Bioinformatics (2002-2006) at NANYANG Technological University, Singapore, Visiting Professor (2007-2009) VIT University, Vellore, India, Professor of Biotechnology (2009-2011) ****at AIMST University, Malaysia. He currently serves as Director at Biomedical Informatics (P) Ltd and Chief Editor at BIOINFORMATION, an open access journal for beyond Bioinformatics. He serves as an Associate Editor of BMC Bioinformatics (a UK based Biomed Central publication since 2005). He has advised several students leading to PhD degree by Research in the field and author numerous research articles and book chapters. He is also an author of several books published by Springer, USA (2008; 2009; 2018); NOVA USA (2011) and LAP, Germany (2011). He is an ambassador for Peace, Universal Peace Federation since 2008. He is conferred the Vishal Bharathi award with the title Bharath Jothi by GOPIO on April 8, 2012. He was also awarded the Indian Leadership award for Industrial Development by All India Achievers Foundation (AIAF) on August 9, 2012. He is truly excited while farming several crops including sugarcane, peanut, black gram, green gram, vegetables, coconut, lemon, rice and chrysanthemum (Chamomile) since 1990. He is a scientist, an author of scholarly materials, teacher of higher education, professor, educationalist, editor, journalist, entrepreneur, social reformer, and a farmer.

Zusammenfassung

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.

Inhalt
Creating Datasets.- Tools and Techniques.- Protein Subunits Interaction.- Homodimer Folding and Binding.- Fusion Proteins.- Major Histocompatibility Complex (MHC) and Peptide Binding.- HLA Supertypes.- T-Epitope Designer.- Eukaryotic Genes, Functions, Genomes, Design, and Evolution.- Single Nucleotide Polymorphism._ Genes, Proteins and Diseases.- Protein Functions Driven By Surface Electrostatics.