Bioinformatic Applications in Crop Improvement, Emani, Chandrakanth
Автор: Kavi Kishor P.B.; Rajib Bandopadhyay; Prashanth Su Название: Agricultural Bioinformatics ISBN: 8132234863 ISBN-13(EAN): 9788132234869 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.
Автор: David Edwards Название: Plant Bioinformatics ISBN: 1493931660 ISBN-13(EAN): 9781493931668 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1. Using GenBank Eric W. Sayers and Ilene Karsch-Mizrachi
2. UniProtKB/Swiss-Prot, The Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View Emmanuel Boutet, Damien Lieberherr, Michael Tognolli, Michel Schneider, Parit Bansal, Alan J. Bridge, Sylvain Poux, Lydie Bougueleret, and Ioannis Xenarios 3. KEGG Bioinformatics Resource for Plant Genomics and Metabolomics Minoru Kanehisa 4. Plant Pathway Databases Pankaj Jaiswal and Bjцrn Usadel 5. The Plant Ontology: A Tool for Plant Genomics Laurel Cooper and Pankaj Jaiswal 6. Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data Dan Bolser, Daniel M. Staines, Emily Pritchard, and Paul Kersey 7. Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways Marcela Karey Monaco, Joshua Stein, Sharon Wei, Ken Youens-Clark, Pankaj Jaiswal, and Doreen Ware 8. PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes Manuel Spannagl, Kai Bader, Matthias Pfeifer, Thomas Nussbaumer, and Klaus FX Mayer 9. MaizeGDB: The Maize Genetics and Genomics Database Lisa Harper, Jack Gardiner, Carson Andorf, and Carolyn J. Lawrence 10. WheatGenome.info: A Resource for Wheat Genomics Resource Kaitao Lai 11. User Guidelines for the Brassica Database: BRAD Xiaobo Wang, Feng Cheng, and Xiaowu Wang 12. TAG Sequence Identification of Genomic Regions Using TAGdb Pradeep Ruperao 13. Short Read Alignment Using SOAP2 Bhavna Hurgobin 14. Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings Iain Milne, Micha Bayer, Gordon Stephen, Linda Cardle, and David Marshall 15. Analysis of Genotyping-by-Sequencing (GBS) Data Sateesh Kagale, Chushin Koh, Wayne E. Clarke, Venkatesh Bollina, Isobel A.P. Parkin, and Andrew G. Sharpe 16. Skim-Based Genotyping by Sequencing Using a Double Haploid Population to Call SNPs, Infer Gene Conversions and Improve Genome Assemblies Philipp Emanuel Bayer 17. Finding and Characterizing Repeats in Plant Genomes Jacques Nicolas, Pierre Peterlongo, and Sйbastien Tempel 18. Analysis of RNA-Seq Data Using TopHat and Cufflinks Sreya Ghosh and Chon-Kit Kenneth Chan
Название: Bioinformatics ISBN: 1461498260 ISBN-13(EAN): 9781461498261 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: To accommodate the broad range of topics in applied bioinformatics, chapters have been grouped into themes: gene and genome analysis, molecular genetic analysis, gene expression analysis, protein and proteome analysis, metabolome analysis, phenome data analysis, literature mining and bioinformatics tool development.
Автор: Khalid Rehman Hakeem; Noor Ahmad Shaik; Babajan Ba Название: Essentials of Bioinformatics, Volume III ISBN: 3030193179 ISBN-13(EAN): 9783030193171 Издательство: Springer Рейтинг: Цена: 32142.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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.
Автор: Noor Ahmad Shaik; Khalid Rehman Hakeem; Babajan Ba Название: Essentials of Bioinformatics, Volume I ISBN: 3030026337 ISBN-13(EAN): 9783030026332 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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 mostly focuses 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.
Unlike other bioinformatics books which are mostly theoretical, this book provides practical examples for the readers on state-of-the-art open source tools to solve biological problems. Flow charts of experiments, graphical illustrations, and mock data are included for quick reference. Volume I is therefore an ideal companion for students and early stage professionals wishing to master this blooming field.
Автор: Venkatarajan Mathura; Pandjassarame Kangueane Название: Bioinformatics ISBN: 1441946586 ISBN-13(EAN): 9781441946584 Издательство: Springer Рейтинг: Цена: 14365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is an evolving field that is gaining popularity due to genomics, proteomics and other high-throughput biological methods. This requires a grasp of knowledge mining algorithms, a thorough understanding of biological knowledge base, and the logical relationship of entities that describe a process or the system.
Автор: Shaik Noor Ahmad, Hakeem Khalid Rehman, Banaganapalli Babajan Название: Essentials of Bioinformatics, Volume II: In Silico Life Sciences: Medicine ISBN: 3030183742 ISBN-13(EAN): 9783030183745 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 focuses 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.
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.
Автор: Khalid Rehman Hakeem; Adeel Malik; Fazilet Vardar- Название: Plant Bioinformatics ISBN: 3319671553 ISBN-13(EAN): 9783319671550 Издательство: Springer Рейтинг: Цена: 23757.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
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 research.
Автор: David Edwards Название: Plant Bioinformatics ISBN: 149394732X ISBN-13(EAN): 9781493947324 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
1. Using GenBank Eric W. Sayers and Ilene Karsch-Mizrachi
2. UniProtKB/Swiss-Prot, The Manually Annotated Section of the UniProt KnowledgeBase: How to Use the Entry View Emmanuel Boutet, Damien Lieberherr, Michael Tognolli, Michel Schneider, Parit Bansal, Alan J. Bridge, Sylvain Poux, Lydie Bougueleret, and Ioannis Xenarios 3. KEGG Bioinformatics Resource for Plant Genomics and Metabolomics Minoru Kanehisa 4. Plant Pathway Databases Pankaj Jaiswal and Bjцrn Usadel 5. The Plant Ontology: A Tool for Plant Genomics Laurel Cooper and Pankaj Jaiswal 6. Ensembl Plants: Integrating Tools for Visualizing, Mining, and Analyzing Plant Genomics Data Dan Bolser, Daniel M. Staines, Emily Pritchard, and Paul Kersey 7. Gramene: A Resource for Comparative Analysis of Plants Genomes and Pathways Marcela Karey Monaco, Joshua Stein, Sharon Wei, Ken Youens-Clark, Pankaj Jaiswal, and Doreen Ware 8. PGSB/MIPS Plant Genome Information Resources and Concepts for the Analysis of Complex Grass Genomes Manuel Spannagl, Kai Bader, Matthias Pfeifer, Thomas Nussbaumer, and Klaus FX Mayer 9. MaizeGDB: The Maize Genetics and Genomics Database Lisa Harper, Jack Gardiner, Carson Andorf, and Carolyn J. Lawrence 10. WheatGenome.info: A Resource for Wheat Genomics Resource Kaitao Lai 11. User Guidelines for the Brassica Database: BRAD Xiaobo Wang, Feng Cheng, and Xiaowu Wang 12. TAG Sequence Identification of Genomic Regions Using TAGdb Pradeep Ruperao 13. Short Read Alignment Using SOAP2 Bhavna Hurgobin 14. Tablet: Visualizing Next-Generation Sequence Assemblies and Mappings Iain Milne, Micha Bayer, Gordon Stephen, Linda Cardle, and David Marshall 15. Analysis of Genotyping-by-Sequencing (GBS) Data Sateesh Kagale, Chushin Koh, Wayne E. Clarke, Venkatesh Bollina, Isobel A.P. Parkin, and Andrew G. Sharpe 16. Skim-Based Genotyping by Sequencing Using a Double Haploid Population to Call SNPs, Infer Gene Conversions and Improve Genome Assemblies Philipp Emanuel Bayer 17. Finding and Characterizing Repeats in Plant Genomes Jacques Nicolas, Pierre Peterlongo, and Sйbastien Tempel 18. Analysis of RNA-Seq Data Using TopHat and Cufflinks Sreya Ghosh and Chon-Kit Kenneth Chan
Автор: David Edwards Название: Plant Bioinformatics ISBN: 1617376973 ISBN-13(EAN): 9781617376979 Издательство: Springer Рейтинг: Цена: 26552.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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. Further chapters are aimed at researchers developing bioinformatics databases and tools, detailing commonly applied database formats and biology-focused scripting languages.
Автор: Tandy Warnow Название: Bioinformatics and Phylogenetics ISBN: 3030108368 ISBN-13(EAN): 9783030108366 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents a compelling collection of state-of-the-art work in algorithmic computational biology, honoring the legacy of Professor Bernard M.E. Moret in this field. Reflecting the wide-ranging influences of Prof. Moret’s research, the coverage encompasses such areas as phylogenetic tree and network estimation, genome rearrangements, cancer phylogeny, species trees, divide-and-conquer strategies, and integer linear programming. Each self-contained chapter provides an introduction to a cutting-edge problem of particular computational and mathematical interest.Topics and features: addresses the challenges in developing accurate and efficient software for the NP-hard maximum likelihood phylogeny estimation problem; describes the inference of species trees, covering strategies to scale phylogeny estimation methods to large datasets, and the construction of taxonomic supertrees; discusses the inference of ultrametric distances from additive distance matrices, and the inference of ancestral genomes under genome rearrangement events; reviews different techniques for inferring evolutionary histories in cancer, from the use of chromosomal rearrangements to tumor phylogenetics approaches; examines problems in phylogenetic networks, including questions relating to discrete mathematics, and issues of statistical estimation; highlights how evolution can provide a framework within which to understand comparative and functional genomics; provides an introduction to Integer Linear Programming and its use in computational biology, including its use for solving the Traveling Salesman Problem.Offering an invaluable source of insights for computer scientists, applied mathematicians, and statisticians, this illuminating volume will also prove useful for graduate courses on computational biology and bioinformatics.
Автор: Kishor P. B. Kavi Название: Agricultural Bioinformatics ISBN: 8132218795 ISBN-13(EAN): 9788132218791 Издательство: Springer Рейтинг: Цена: 25155.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A common approach to understanding the functional repertoire of a genome is through functional genomics. With systems biology burgeoning, bioinformatics has grown to a larger extent for plant genomes where several applications in the form of protein-protein interactions (PPI) are used to predict the function of proteins. With plant genes evolutionarily conserved, the science of bioinformatics in agriculture has caught interest with myriad of applications taken from bench side to in silico studies. A multitude of technologies in the form of gene analysis, biochemical pathways and molecular techniques have been exploited to an extent that they consume less time and have been cost-effective to use. As genomes are being sequenced, there is an increased amount of expression data being generated from time to time matching the need to link the expression profiles and phenotypic variation to the underlying genomic variation. This would allow us to identify candidate genes and understand the molecular basis/phenotypic variation of traits. While many bioinformatics methods like expression and whole genome sequence data of organisms in biological databases have been used in plants, we felt a common reference showcasing the reviews for such analysis is wanting. We envisage that this dearth would be facilitated in the form of this Springer book on Agricultural Bioinformatics. We thank all the authors and the publishers Springer, Germany for providing us an opportunity to review the bioinformatics works that the authors have carried in the recent past and hope the readers would find this book attention grabbing.
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