Overview
International experts discuss the latest development in bioinformatics
Practical examples enhance learning experience
Applied bioinformatics with broad-based applications for life science researchers
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Table of contents (13 chapters)
Keywords
About this book
Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput molecular data for the diagnosis, prognosis, and treatment of monogenic or polygenic human diseases. The key concepts in this volume include risk factor assessment, genetic tests and result interpretation, personalized medicine, and drug discovery. This volume is expected to train readers in both single and multi-dimensional biological analysis using open data sets, and provides a unique learning experience through clinical scenarios and case studies.
Editors and Affiliations
About the editors
Dr. Khalid Rehman Hakeem (PhD) is Associate Professor at King Abdulaziz University, Jeddah, Saudi Arabia. He has completed his Ph.D. (Botany) from Jamia Hamdard, New Delhi, India in 2011. Dr. Hakeem has worked as Post Doctorate Fellow in 2012 and Fellow Researcher (Associate Prof.) from 2013-2016 at Universiti Putra Malaysia, Selangor, Malaysia. His specialty is Plant Eco-Physiology, Biotechnology & Molecular biology, Plant-Microbe-soil interactions and Environmental Sciences and so far has edited and authored more than 25 books with Springer International, Academic Press (Elsevier), CRC Press etc. He has also to his credit more than 120 research publications in peer reviewed international journals, including 42 book chapters in edited volumes with international publishers.
Dr. Babajan Banaganapalli (PhD) works as bioinformatics research faculty at King Abdulaziz University. He initiated and successfully running the interdisciplinary Bioinformatics program from 2014 to till-to date in King Abdulaziz University. He has more than 12 years of research experience in bioinformatics. His research interest spread across as genomics, proteomics and drug discovery for complex diseases. He published more than 40 journal articles, conferences papers and book chapters. He has also served in numerous conference program committees, organized several bioinformatics workshops, trainings programs and act as editor and reviewer for various international genetics/bioinformatics journals. Recently he was honored as young scientist for his outstanding research in bioinformatics by Venus International Research Foundation, India.
Dr. Ramu Elango (PhD) is a well experienced molecular geneticist and computational biologist with extensive experience at MIT, Cambridge, USA and GlaxoSmithKline R&D, UK, after completing his Ph.D. in Human Genetics at All India Institute of Medical Sciences, New Delhi, India. At GlaxoSmithKline, he contributed extensively in many disease areas of interest in identifying novel causal genes and tractable drug targets. Dr Ramu Elango presently heads the Research & Laboratories at the Princess Al-Jawhara Center of Excellence in Research of Hereditary Disorders, King Abdulaziz University. His research focus is on genetics and genomics of complex and polygenic diseases. His team exploits freely available large scale genetic and genomic data with bioinformatics tools to identify the risk factors or candidate causal genes for many complex diseases.
Bibliographic Information
Book Title: Essentials of Bioinformatics, Volume II
Book Subtitle: In Silico Life Sciences: Medicine
Editors: Noor Ahmad Shaik, Khalid Rehman Hakeem, Babajan Banaganapalli, Ramu Elango
DOI: https://doi.org/10.1007/978-3-030-18375-2
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-18374-5Published: 30 October 2019
Softcover ISBN: 978-3-030-18377-6Published: 30 October 2020
eBook ISBN: 978-3-030-18375-2Published: 18 October 2019
Edition Number: 1
Number of Pages: XV, 309
Number of Illustrations: 3 b/w illustrations, 72 illustrations in colour
Topics: Bioinformatics, Genetics and Genomics, Human Genetics, Agriculture