Epistola publishing house is a family-owned company founded in 2009. We seek to provide quality reading with variety of themes to enrich the lives of young readers. Our books have distinctively educational purpose, inspiring discussion with parents, teachers or other children. In order to provide the best possible reading and achieve quality, we collaborate with renowned domestic and foreign authors.
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The book entitledis aimed to cater to the growing demand of academia, researchers and commercial ventures. Altogether there are forty four s divided into the following broad sections like 1. Bioinformatics, Genomics and Proteomics, 2. Phylogeny 3. Drug Design and Epigenomics 4. Advanced Computational Tools and Techniques 5. Statistical methods for computational biology, data mining and visualization 6. Socio Economics and Ethics. This book presents the foundations of key problems in computational molecular biology and bioinformatics. It contains basic molecular biology concepts, tools, techniques and ways to measure sequence similarity, presents simple applications of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text explores applications of the phylogenetic tree, methods for comparing phylogenetic trees, the problem of gene expression and motif finding. Interestingly, it is attempted to introduce computational biology without formulas that presents the biological and computational ideas in a relatively simple manner. It focuses on computational and statistical principles applied to genomes, and introduces the computational statistics that are crucial for understanding and visualization of problems. This makes the material accessible to Statistician and computer scientists without biological training, as well as to biologists with limited background in Statistics and computer science. Furthermore one has been exclusively devoted to computational biology and computational statistics as applied in biotechnology illustrated with methodology, application and interpretation of results. More than four hundred figures, illustrations and diagrams reinforce concepts and present key results from the primary literature that will be very much useful to grasp on the subject, visualize the output and make right interpretation of the result. The book will be useful for all those working in Biotechnology sector in general and particularly researchers working in the laboratories of ICAR, CSIR, SAUs and many more institutions engaged R&D activities.
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This book provides a comprehensive overview of plant omics and big data in the fields of plant and crop biology. It discusses each omics layer individually, including genomics, transcriptomics, proteomics, and covers model and non-model species. In a section on advanced topics, it considers developments in each specialized domain, including genome editing and enhanced breeding strategies (such as genomic selection and high-throughput phenotyping), with the aim of providing tools to help tackle global food security issues. The importance of online resources in big data biology are highlighted in a section summarizing both wet- and dry-biological portals. This section introduces biological resources, datasets, online bioinformatics tools and approaches that are in the public domain. This title: reviews each omics layer individually; focuses on new advanced research domains and technology; and summarizes publicly available experimental and informatics resources. This book is for students, engineers, researchers and academics in plant biology, genetics, biotechnology and bioinformatics.
WHY SO MUCH OF SCIENCE IS WRONG! Barrie Condon shows that science is broken Science is everywhere, our medicines, our transport, what we eat and drink. Like it or not, we can’t make real progress without it. There’s just one dilemma ... What if there are profound problems with all aspects of scien fi c theory and methods? Could it be that the idea of universal laws underpinning reality is a falsehood and, as a result, we need more and more scien sts, and more and more compu ng power, to produce greater and greater elabora ons of our theories to make them fi t inconvenient experimental data? For the fi rst me, we have a book that dares to summarise these profound concerns in a way that is accessible to the general reader, who lacks a scien fi c background. It also provides a warning to Mankind of the risks we run by not acknowledging the, o en, hollow founda ons on which science is built.
