Plant Bioinformatics
Plant Bioinformatics

Author: Khalid Rehman Hakeem

Publisher: Springer

Published: 2017-11-21

Total Pages: 465

ISBN-13: 3319671561

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This book: (i) introduces fundamental and applied bioinformatics research in the field of plant life sciences; (ii) enlightens the potential users towards the recent advances in the development and application of novel computational methods available for the analysis and integration of plant -omics data; (iii) highlights relevant databases, softwares, tools and web resources developed till date to make ease of access for researchers working to decipher plant responses towards stresses; and (iv) presents a critical cross-talks on the available high-throughput data in plant research. Therefore, in addition to being a reference for the professional researchers, it is also of great interest to students and their professors. Considering immense significance of plants for all lives on Earth, the major focus of research in plant biology has been to: (a) select plants that best fit the purposes of human, (b) develop crop plants superior in quality, quantity and farming practices when compared to natural (wild) plants, and (c) explore strategies to help plants to adapt biotic and abiotic/environmental stress factors. Accordingly the development of novel techniques and their applications have increased significantly in recent years. In particular, large amount of biological data have emerged from multi-omics approaches aimed at addressing numerous aspects of the plant systems under biotic or abiotic stresses. However, even though the field is evolving at a rapid pace, information on the cross-talks and/or critical digestion of research outcomes in the context of plant bioinformatics is scarce. “Plant Bioinformatics: Decoding the Phyta” is aimed to bridge this gap.

Plant Bioinformatics
Plant Bioinformatics

Author: David Edwards

Publisher: Springer Science & Business Media

Published: 2008-01-07

Total Pages: 551

ISBN-13: 1588296539

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This book aims to assist research scientists in choosing the most applicable database or bioinformatics tools to aid and promote their research in plant biotechnology. Chapters include practical examples and highlight common problems encountered in bioinformatics analysis. Further chapters are aimed at researchers developing bioinformatics databases and tools, detailing commonly applied database formats and biology-focused scripting languages.

Bioinformatics for Plant Research and Crop Breeding
Bioinformatics for Plant Research and Crop Breeding

Author: Jen-Tsung Chen

Publisher: John Wiley & Sons

Published: 2024-07-22

Total Pages: 612

ISBN-13: 1394209959

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Explore and advance bioinformatics and systems biology tools for crop breeding programs in this practical resource for researchers Plant biology and crop breeding have produced an immense amount of data in recent years, from genomics to interactome and beyond. Bioinformatics tools, which aim at analyzing the vast quantities of data produced by biological research and processes, have developed at a rapid pace to meet the challenges of this vast data trove. The resulting field of bioinformatics and systems biology is producing increasingly rich and transformative research. Bioinformatics for Plant Research and Crop Breeding offers an overview of this field, its recent advances, and its wider applications. Drawing on a range of analytical and data-science tools, its foundation on an in-silico platform acquired multi-omics makes it indispensable for scientists and researchers alike. It promises to become ever more relevant as new techniques for generating and organizing data continue to transform the field. Bioinformatics for Plant Research and Crop Breeding readers will also find: A focus on emerging trends in plant science, sustainable agriculture, and global food security Detailed discussion of topics including plant diversity, plant stresses, nanotechnology in agriculture, and many others Applications incorporating artificial intelligence, machine learning, deep learning and more Bioinformatics for Plant Research and Crop Breeding is ideal for researchers and scientists interested in the potential of OMICs, and bioinformatic tools to aid and develop crop improvement programs.

Computation in BioInformatics
Computation in BioInformatics

Author: Anand T. Krishnan

Publisher: John Wiley & Sons

Published: 2021-10-05

Total Pages: 352

ISBN-13: 1119654769

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COMPUTATION IN BIOINFORMATICS Bioinformatics is a platform between the biology and information technology and this book provides readers with an understanding of the use of bioinformatics tools in new drug design. The discovery of new solutions to pandemics is facilitated through the use of promising bioinformatics techniques and integrated approaches. This book covers a broad spectrum of the bioinformatics field, starting with the basic principles, concepts, and application areas. Also covered is the role of bioinformatics in drug design and discovery, including aspects of molecular modeling. Some of the chapters provide detailed information on bioinformatics related topics, such as silicon design, protein modeling, DNA microarray analysis, DNA-RNA barcoding, and gene sequencing, all of which are currently needed in the industry. Also included are specialized topics, such as bioinformatics in cancer detection, genomics, and proteomics. Moreover, a few chapters explain highly advanced topics, like machine learning and covalent approaches to drug design and discovery, all of which are significant in pharma and biotech research and development. Audience Researchers and engineers in computation biology, information technology, bioinformatics, drug design, biotechnology, pharmaceutical sciences.

Bioinformatics of Genome Regulation, Volume I, 2nd Edition
Bioinformatics of Genome Regulation, Volume I, 2nd Edition

Author: Yuriy L. Orlov

Publisher: Frontiers Media SA

Published:

Total Pages: 234

ISBN-13: 2889741427

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Publisher’s note: In this 2nd edition, the following article has been updated: Orlov YL, Tatarinova TV, Oparina NY, Galieva ER and Baranova AV (2021) Editorial: Bioinformatics of Genome Regulation, Volume I. Front. Genet. 12:803273. doi: 10.3389/fgene.2021.803273

CRISPR and Plant Functional Genomics
CRISPR and Plant Functional Genomics

Author: Jen-Tsung Chen

Publisher: CRC Press

Published: 2024-05-08

Total Pages: 389

ISBN-13: 1040015158

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CRISPR is a crucial technology in plant physiology and molecular biology resulting in more sustainable agricultural practices, including outcomes of better plant stress tolerance and crop improvement. CRISPR and Plant Functional Genomics explores ways to release the potential of plant functional genomics, one of the prevailing topics in plant biology and a critical technology for speed and precision crop breeding. This book presents achievements in plant functional genomics and features information on diverse applications using the emerging CRISPR-based genome editing technologies producing high-yield, disease-resistant, and climate-smart crops. It also includes theories on organizing strategies for upgrading the CRISPR system to increase efficiency, avoid off-target effects, and produce transgene-free edited crops. Features: Presents CRISPR-based technologies, releasing the potential of plant functional genomics Provides methods and applications of CRISPR/Cas-based plant genome editing technologies Summarizes achievements of speed and precision crop breeding using CRISPR-based technologies Illustrates strategies to upgrade the CRISPR system Supports the UN’s sustainable development goals to develop future climate-resilient crops CRISPR and Plant Functional Genomics provides extensive knowledge of CRISPR-based technologies and plant functional genomics, and is an ideal reference for researchers, graduate students, and practitioners in the field of plant sciences as well as agronomy and agriculture.

Bioinformatics in Agriculture
Bioinformatics in Agriculture

Author: Pradeep Sharma

Publisher: Academic Press

Published: 2022-04-28

Total Pages: 707

ISBN-13: 0323885993

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Bioinformatics in Agriculture: Next Generation Sequencing Era is a comprehensive volume presenting an integrated research and development approach to the practical application of genomics to improve agricultural crops. Exploring both the theoretical and applied aspects of computational biology, and focusing on the innovation processes, the book highlights the increased productivity of a translational approach. Presented in four sections and including insights from experts from around the world, the book includes: Section I: Bioinformatics and Next Generation Sequencing Technologies; Section II: Omics Application; Section III: Data mining and Markers Discovery; Section IV: Artificial Intelligence and Agribots. Bioinformatics in Agriculture: Next Generation Sequencing Era explores deep sequencing, NGS, genomic, transcriptome analysis and multiplexing, highlighting practices forreducing time, cost, and effort for the analysis of gene as they are pooled, and sequenced. Readers will gain real-world information on computational biology, genomics, applied data mining, machine learning, and artificial intelligence. This book serves as a complete package for advanced undergraduate students, researchers, and scientists with an interest in bioinformatics. - Discusses integral aspects of molecular biology and pivotal tool sfor molecular breeding - Enables breeders to design cost-effective and efficient breeding strategies - Provides examples ofinnovative genome-wide marker (SSR, SNP) discovery - Explores both the theoretical and practical aspects of computational biology with focus on innovation processes - Covers recent trends of bioinformatics and different tools and techniques

Essentials of Bioinformatics, Volume III
Essentials of Bioinformatics, Volume III

Author: Khalid Rehman Hakeem

Publisher: Springer Nature

Published: 2019-11-01

Total Pages: 228

ISBN-13: 3030193187

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Bioinformatics is an integrative field of computer science, genetics, genomics, proteomics, and statistics, which has undoubtedly revolutionized the study of biology and medicine in past decades. It mainly assists in modeling, predicting and interpreting large multidimensional biological data by utilizing advanced computational methods. Despite its enormous potential, bioinformatics is not widely integrated into the academic curriculum as most life science students and researchers are still not equipped with the necessary knowledge to take advantage of this powerful tool. Hence, the primary purpose of our book is to supplement this unmet need by providing an easily accessible platform for students and researchers starting their career in life sciences. This book aims to avoid sophisticated computational algorithms and programming. Instead, it will mostly focus on simple DIY analysis and interpretation of biological data with personal computers. Our belief is that once the beginners acquire these basic skillsets, they will be able to handle most of the bioinformatics tools for their research work and to better understand their experimental outcomes. The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic and metabolomics data. Using examples of new crop diseases-emergence, crop productivity and biotic/abiotic stress tolerance, this book illustrates how bioinformatics can be an integral components of modern day plant science research.

Data Analytics in Bioinformatics
Data Analytics in Bioinformatics

Author: Rabinarayan Satpathy

Publisher: John Wiley & Sons

Published: 2021-01-20

Total Pages: 433

ISBN-13: 111978560X

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Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

Plant Genomics and Proteomics
Plant Genomics and Proteomics

Author: Christopher A. Cullis

Publisher: John Wiley & Sons

Published: 2004-01-20

Total Pages: 230

ISBN-13: 0471488585

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Plant research has stood at the forefront of the genomics revolution. One of the first genome projects, the sequencing of the commonly used model organism Arabidopsis, has already yielded important results for the study of a broad array of crops such as corn and soybeans. With crop and food bioengineering only in its infancy, the need to understand the fundamental genetic mechanisms of plants will only become more pressing. A comprehensive guide to this fascinating area of genomics, Plant Genomics and Proteomics presents an integrated, broadly accessible treatment of the complex relationship between the genome, transcriptome, and proteome of plants. This clearly written text introduces the reader to the range of molecular techniques applicable to investigating the unique facets of plant growth, development, and response to the environment. Coverage includes: Functional and structural genomics addressed within the context of current techniques and challenges to come How to utilize DNA and protein sequence data Practical considerations for choosing and employing the most commonly available computer applications A review of applications for biotechnology, including genetic modification and defense against pathogens Bioinformatics tools and Web resources Numerous examples from the latest research throughout Assuming no specialized knowledge of plant biology on the part of its reader, Plant Genomics and Proteomics provides an invaluable resource for students and researchers in biotechnology, plant biology, genomics, and bioinformatics.