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| Release | : 2018 |
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| Author | : Rozana Rosli |
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| Total Pages | : |
| Release | : 2018 |
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| Author | : Maizura Ithnin |
| Publisher | : Springer Nature |
| Total Pages | : 165 |
| Release | : 2020-06-12 |
| Genre | : Science |
| ISBN | : 3030225496 |
This book compiles the fundamental advances resulting from of oil-palm genome and transcriptome sequencing, and describes the challenges faced and strategies applied in sequencing, assembling and annotating oil palm genome sequences. The availability of genome and transcriptome data has made the mining of a high number of new molecular markers useful for genetic diversity as well as marker-trait association studies and the book presents high-throughput genotyping platforms, which allow the detection of QTL regions associated with interesting oil palm traits such as oil unsaturation and yield components using classical genetic and association mapping approaches. Lastly, it also presents the discovery of major genes governing economically important traits of the oil palm. Covering the history of oil palm expansion, classical and molecular cytogenetics, improvements based on wild and advanced genetic materials, and the science of oil palm breeding, the book is a valuable resource for scientists involved in plant genetic research.
| Author | : Limsoon Wong |
| Publisher | : World Scientific |
| Total Pages | : 176 |
| Release | : 2004 |
| Genre | : Computers |
| ISBN | : 9812794840 |
The Institute for Mathematical Sciences at the National University of Singapore organized a program on OC Post-Genome Knowledge DiscoveryOCO from January to June 2002. The program focused on the computational and statistical analysis of sequences and genetics, and the mathematical modeling of complex biological interactions, which are critical to the accurate annotation of genomic sequences, the study of the interplay between genes and proteins, and the study of the genetic variability of species. As part of the program, tutorials for graduate students and newcomers to this transdisciplinary area of research were given by experts in these fields. This important volume collects the expanded notes of some of the tutorials that were given during the program. The topics include comparison and alignment of biological sequences, modeling and analysis of biological pathways, data mining and knowledge discovery from biological and clinical data. Contents: Dynamic Programming Strategies for Analyzing Biomolecular Sequences (K-M Chao); The Representation, Comparison, and Prediction of Protein Pathways (J Tillinghast et al.); Gene Network Inference and Biopathway Modeling (S Miyano); Data Mining Techniques (M J Zaki & L Wong). Readership: Graduate students and researchers in knowledge discovery, statistical learning, computer algorithms, computer simulations, molecular biology and genomics who are interested in bioinformatics."
| Author | : Ravindranath Duggirala |
| Publisher | : Springer |
| Total Pages | : 305 |
| Release | : 2015-03-25 |
| Genre | : Science |
| ISBN | : 3662463067 |
This book provides an introduction to the latest gene mapping techniques and their applications in biomedical research and evolutionary biology. It especially highlights the advances made in large-scale genomic sequencing. Results of studies that illustrate how the new approaches have improved our understanding of the genetic basis of complex phenotypes including multifactorial diseases (e.g., cardiovascular disease, type 2 diabetes, and obesity), anatomic characteristics (e.g., the craniofacial complex), and neurological and behavioral phenotypes (e.g., human brain structure and nonhuman primate behavior) are presented. Topics covered include linkage and association methods, gene expression, copy number variation, next-generation sequencing, comparative genomics, population structure, and a discussion of the Human Genome Project. Further included are discussions of the use of statistical genetic and genetic epidemiologic techniques to decipher the genetic architecture of normal and disease-related complex phenotypes using data from both humans and non-human primates.
| Author | : Huseyin Tombuloglu |
| Publisher | : Springer Nature |
| Total Pages | : 444 |
| Release | : 2021-09-20 |
| Genre | : Science |
| ISBN | : 3030704203 |
Plants are an important source of fats and oils, which are essential for the human diet. In recent years, genomics of oil biosynthesis in plants have attracted great interest, especially in high oil-bearing plants, such as sesame, olive, sunflower, and palm. Considering that, genome sequencing projects of these plants have been undertaken with the help of advanced genomics tools such as next generation sequencing. Several genome sequencing projects of oil crops are in progress and many others are en route. In addition to genome information, advanced genomics approaches are discussed such as transcriptomics, genomics-assisted breeding, genome-wide association study (GWAS), genotyping by sequencing (GBS), and CRISPR. These have all improved our understanding of the oil biosynthesis mechanism and breeding strategies for oil production. There is, however, no book that covers the genomes and genomics of oil crops. For this reason, in this volume we collected the most recent knowledge of oil crop genomics for researchers who study oil crop genomes, genomics, biotechnology, pharmacology, and medicine. This book covers all genome-sequenced oil crops as well as the plants producing important oil metabolites. Throughout this book, the latest genomics developments and discoveries are highlighted as well as open problems and future challenges in oil crop genomics. In doing so, we have covered the state-of-the-art of developments and trends of oil crop genomics.
| Author | : Sio-Iong Ao |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 159 |
| Release | : 2008-09-25 |
| Genre | : Computers |
| ISBN | : 1402089759 |
Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies based on the recent and current works at the University of Hong Kong and the Oxford University Computing Laboratory, University of Oxford. It provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and Applications in Genomics offers state of the art of tremendous advances in data mining algorithms and applications in genomics and also serves as an excellent reference work for researchers and graduate students working on data mining algorithms and applications in genomics.
| Author | : Xiaoming Song |
| Publisher | : Frontiers Media SA |
| Total Pages | : 479 |
| Release | : 2021-07-05 |
| Genre | : Science |
| ISBN | : 2889669726 |
| Author | : Romesh Kumar Salgotra |
| Publisher | : Springer Nature |
| Total Pages | : 376 |
| Release | : 2020-01-28 |
| Genre | : Science |
| ISBN | : 9811501564 |
This book describes how the latest genomic resources techniques can be efficiently used in plant breeding programmes to achieve food security in the future. It also shares insights on how to utilize the untapped and unexplored genetic diversity of wild species, wild relatives and landraces for crop improvement. Moreover, the book offers an impressive array of balanced analyses, fresh ideas and perspectives, and thoughtful and realistic proposals regarding the sustainable utilization of plant genetic resources with modern biotechnological techniques. The first book to address the importance of plant genetics and genomic resources for food security, it brings together a group of plant breeders and biotechnologists to investigate the use of genomic resources techniques in plant breeding programmes. Providing essential information on the efficient utilization of genomic resources in precision breeding, it offers a valuable asset for undergraduate and graduate students, teachers and professionals engaged in related fields.
| Author | : Kefei Chen |
| Publisher | : Frontiers Media SA |
| Total Pages | : 147 |
| Release | : 2023-12-11 |
| Genre | : Science |
| ISBN | : 2832540619 |
The advances in “omics” technologies have enabled unprecedented progress in agricultural and biological sciences. The synergy of high-performance computing, high throughput omics approaches, and high dimensional phenotyping data with high spatial and temporal resolution have demonstrated the capacity to enhance our understanding of biological mechanisms but also to provide powerful insights into dissecting the genetic basis of complex traits with agricultural and economical importance. Genome-wide association study (GWAS) has become a useful approach to identify mutations that underlie diseases and complex traits and has provided important insights in exploring genetic profiles. However, it is less suitable for quantitative traits influenced by a large number of genes with small effects. In addition, false discoveries are a major concern and can be partially attributed to population structure. Genomic selection holds the promise to overcome the limitations by using whole-genome information to predict the genetic merits of phenotypes. It has been a powerful tool for predicting the breeding values of candidates for selection in breeding populations. One of the challenges of genomic prediction of breeding values with large-p-with-small-n regressions is to develop robust and efficient approaches that accurately predict phenotypic traits as functions of genotypic and environmental inputs. In addition, the integration of multi-omics data in phenotypic prediction would offer the opportunity to understand the flow of information that underlies the phenotypic traits.
