Plant Bioinformatics : Decoding the Phyta / edited by Khalid Rehman Hakeem, Adeel Malik, Fazilet Vardar-Sukan, Munir Ozturk

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Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: SpringerLink Bücher | Springer eBook Collection Biomedical and Life SciencesPublisher: Cham : Springer, 2017Description: Online-Ressource (XIV, 459 p. 50 illus., 49 illus. in color, online resource)ISBN:

9783319671567

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Additional physical formats: 9783319671550 | Erscheint auch als: 978-3-319-67155-0 Druck-Ausgabe | Printed edition: 9783319671550 DDC classification:

LOC classification:

QK1-989

DOI: DOI: 10.1007/978-3-319-67156-7Online resources:

Summary: Dr. Khalid Rehman Hakeem (PhD) is working as Associate Professor at Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia, He has obtained his MSc. (Environmental Botany) as well as PhD (Botany) from Jamia Hamdard, New Delhi, India in 2006 and 2011 respectively. He has conducted his Post Doctorate research in the fields of plant ecology and plant biotechnological studies from Universiti Putra Malaysia from 2012-2013. Dr. Hakeem has more than Nine years of teaching and research experience in Plant Eco-Physiology, Biotechnology & Molecular biology, Plant Bioinformatics, Plant-Microbe-soil interactions as well as in Environmental sciences. Recipient of several fellowships at both national and international levels, Dr. Hakeem has so far edited and authored more than Twenty books with International publishers. He has also to his credit more than 100 research publications in peer reviewed international journals, including 35 book chapters with international publishers. He is also the Editorial board member and reviewer of several high impact international Journals. Dr. Hakeem is currently engaged in studying the plant processes at ecophysiological as well as proteomic levels. Adeel Malik (PhD) is currently working as a Research Professor at Chungnam National University, Daejeon, South Korea. He obtained his PhD (2009) from the Dept. of Biosciences, Jamia Millia Islamia (JMI), New Delhi, India. During his PhD, he developed computational methods for the prediction of carbohydrate binding sites in proteins using sequence and evolutionary information. He obtained his postdoctoral fellowship from School of Computational Sciences, Korea Institute for Advanced Study (KIAS), Seoul, South Korea (2011-2012). As a part of his research, he investigated plant lectin-carbohydrate interactions via community-based network analysis by using glycan array data. He worked as an Assistant Professor at School of Biotechnology, Yeungnam University, South Korea and later at Perdana University Center for Bioinformatics (PU-CBi), Malaysia. His research interests include developing computational methods for studying protein-carbohydrate interactions and applyinging bioinformatics approaches to explore the role of glycogenes in various biological processes. He has published about 19 research articles in high impact journals including 3 book chapters. Prof. Munir Ozturk (PhD, DSc.) was born in Kashmir (1943) and holds PhD+DSc degrees in ...Summary: 1. Introduction to fundamental and applied bioinformatics research in plant life sciences -- Concept, development and application of novel computational methods for the analysis and integration of -omics data -- 3. Impact of high-throughput techniques on plant translational research -- 4. Functional genomics approaches in plant research -- 5. Bioinformatical versus experimental analyses of small RNAs in plants -- 6. Systems analyses of plant functions -- 7. Phylogenetic analyses and whole genome duplication (WGD) events -- 8. Application of bioinformatics in agriculture, plant breeding and, improved complex traits (e.g. yield and quality) -- 9. Application of bioinformatics in developing resistance against insects and harsh environments -- 10. Discovery of molecular markers such as single sequence repeats (SSRs) involved in gene mapping, molecular breeding and genetic diversity -- 11. Significance of bioinformatics in the new crop diseases-emergence -- 12. From genomics to the improved crop phenotype -- 13. Deciphering the effects of microbiome on plants using computational methods -- 14. Bioinformatics resources for plants -- 15. Recent Technological advances in plant bioinformatics -- 16. ‘Big Data’ challenges and future trends in plant bioinformatics researchPPN: PPN: 1657315789Package identifier: Produktsigel: ZDB-2-SBL

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