Microarray Analysis: Biochips and Eradication of all Diseases - Biomedical Engineering Collection

Publisher Marketing: Microarray Analysis is a natural outgrowth of the author's teaching and research into the eld of microarray processing, a fast growing and developing eld. There has been a reduction in the genominomics of sequencing of DNA and proteins: from $3 billion in HGP costs down to $1000 per genome in 2014 using next-generation sequencers. Different sequencing methods in place and various applications of these methods are illustrated. Commercially available Next-Generation Sequencers are compared side-side by side. This book will show how the biochemical reactions involved in the different steps of the cure process can be studied using microarray methods. Examples will be provided throughout the text of various disease states, including the spread of cystic brosis in children, consanguineous marriages in Saudi Arabia, genetic disorders, and autoimmune disorders. The protocols from sample preparation to confocal scanning microscopy and detectors using photo multiplier tubes to statistical data analysis methods will be discussed in detail. The Polymerase chain reaction, a technique used to amplify and simultaneously quantify a targeted DNA molecule is explored in relation to the best surface to be used for Microarray Analysis. Sanger sequencing, sequencing by synthesis, sequencing by ligation, single molecule sensing, DNA passage through nanopores in graphene are some methods used for obtaining sequence distribution information." Contributor Bio:  Sharma, Kal Dr. Kal Renganathan Sharma PE (Prairie View, Texas) received his BTech in chemical engineering from Indian Institute of Technology, Chennai, India and MS and PhD in chemical engineering from West Virginia University, Morgantown. He spent two terms at the department of computer science at Dartmouth College and some time under Ramana Reddy, Director of Concurrent Engineering Research Center, West Virginia University, Morgantown. His postdoctoral research work was with R. Shankar Subramanian, formerly chair and professor, chemical engineering at Clarkson University. He performed some probabilistic modeling while he was at Monsanto Plastics. Dr. Sharma has authored 5 books, 10 journal articles, 440 conference papers, 53 preprints, 37 invited lectures/seminars, and 21 others. He developed the curriculum and syllabus for the M. Tech. in Bioinformatics program when he served as Professor and Head of Department at Vellore Engineering College, India. Dr. Sharma has held a number of other positions including: Principal, Sakthi Engineering College, Chennai, India; Professor, SASTRA University, Thanjavur, India; President, Independent Institute of Technology, Hanover, NH; Adjunct Assistant Professor, Mechanical & Aerospace Engineering, West Virginia University, Morgantown; Visiting Research Assistant Professor, Applied and Engineering Statistics, George Mason University, Fairfax. He has instructed more than 1500 students. Dr. Sharma is currently Adjunct Professor with the college of engineering at Prairie View A & M University.