This work presents the latest development in the field of computational intelligence to advance Big Data and Cloud Computing concerning applications in medical diagnosis. As forum for academia and professionals it covers state-of-the-art research challenges and issues in the digital information & knowledge management and the concerns along with the solutions adopted in these fields.
Автор: Lesk Название: Introduction to Bioinformatics ISBN: 0199277877 ISBN-13(EAN): 9780199277872 Издательство: Oxford Academ Цена: 3958.00 р. Наличие на складе: Поставка под заказ.
Описание: Introduces the student to the power of bioinformatics as a set of scientific tools. This book explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer - how to make inferences from the data archives, to make connections among them, and to derive useful and interesting predictions.
Автор: Warren J. Ewens; Gregory R. Grant Название: Statistical Methods in Bioinformatics ISBN: 1441923020 ISBN-13(EAN): 9781441923028 Издательство: Springer Рейтинг: Цена: 13059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Advances in computers and biotechnology have had a profound impact on biomedical research, and as a result complex data sets can now be generated to address extremely complex biological questions. Correspondingly, advances in the statistical methods necessary to analyze such data are following closely behind the advances in data generation methods. The statistical methods required by bioinformatics present many new and difficult problems for the research community.
This book provides an introduction to some of these new methods. The main biological topics treated include sequence analysis, BLAST, microarray analysis, gene finding, and the analysis of evolutionary processes. The main statistical techniques covered include hypothesis testing and estimation, Poisson processes, Markov models and Hidden Markov models, and multiple testing methods.
The second edition features new chapters on microarray analysis and on statistical inference, including a discussion of ANOVA, and discussions of the statistical theory of motifs and methods based on the hypergeometric distribution. Much material has been clarified and reorganized.
The book is written so as to appeal to biologists and computer scientists who wish to know more about the statistical methods of the field, as well as to trained statisticians who wish to become involved with bioinformatics. The earlier chapters introduce the concepts of probability and statistics at an elementary level, but with an emphasis on material relevant to later chapters and often not covered in standard introductory texts. Later chapters should be immediately accessible to the trained statistician. Sufficient mathematical background consists of introductory courses in calculus and linear algebra. The basic biological concepts that are used are explained, or can be understood from the context, and standard mathematical concepts are summarized in an Appendix. Problems are provided at the end of each chapter allowing the reader to develop aspects of the theory outlined in the main text.
Warren J. Ewens holds the Christopher H. Brown Distinguished Professorship at the University of Pennsylvania. He is the author of two books, Population Genetics and Mathematical Population Genetics. He is a senior editor of Annals of Human Genetics and has served on the editorial boards of Theoretical Population Biology, GENETICS, Proceedings of the Royal Society B and SIAM Journal in Mathematical Biology. He is a fellow of the Royal Society and the Australian Academy of Science.
Gregory R. Grant is a senior bioinformatics researcher in the University of Pennsylvania Computational Biology and Informatics Laboratory. He obtained his Ph.D. in number theory from the University of Maryland in 1995 and his Masters in Computer Science from the University of Pennsylvania in 1999.
Comments on the First Edition. "This book would be an ideal text for a postgraduate course... and] is equally well suited to individual study.... I would recommend the book highly" (Biometrics). "Ewens and Grant have given us a very welcome introduction to what is behind those pretty graphical user] interfaces" (Naturwissenschaften.). "The authors do an excellent job of presenting the essence of the material without getting bogged down in mathematical details" (Journal. American Staistical. Association). "The authors have restructured classical material to a great extent and the new organization of the different topics is one of the outstanding services of the book" (Metrika).
Автор: Daniel Branton, David Deamer Название: Nanopore Sequencing: An Introduction ISBN: 9811213089 ISBN-13(EAN): 9789811213083 Издательство: World Scientific Publishing Рейтинг: Цена: 8712.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This is an introductory text and laboratory manual to be used primarily in undergraduate courses. It is also useful for graduate students and research scientists who require an introduction to the theory and methods of nanopore sequencing. The book has clear explanations of the principles of this emerging technology, together with instructional material written by experts that describes how to use a MinION nanopore instrument for sequencing in research or the classroom.
At Harvard University the book serves as a textbook and lab manual for a university laboratory course designed to intensify the intellectual experience of incoming undergraduates while exploring biology as a field of concentration. Nanopore sequencing is an ideal topic as a path to encourage students about the range of courses they will take in Biology by pre-emptively addressing the complaint about having to take a course in Physics or Maths while majoring in Biology. The book addresses this complaint by concretely demonstrating the range of topics -- from electricity to biochemistry, protein structure, molecular engineering, and informatics -- that a student will have to master in subsequent courses if he or she is to become a scientist who truly understands what his or her biology instrument is measuring when investigating biological phenomena.
Автор: Mao, Fenglou Mao, Xizeng Yin, Yanbin Название: Essential computing skills for biologists ISBN: 1848169248 ISBN-13(EAN): 9781848169241 Издательство: World Scientific Publishing Рейтинг: Цена: 11088.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents the important skills for those who want to do quantitative analysis on biological data, especially for high-throughput omics data. This book covers: essential knowledge and skills necessary to use a Linux computer; write programs in Perl, and the use of BioPerl to write bioinformatics Perl programs; and write programs in R.
Автор: Jeremy Ramsden Название: Bioinformatics ISBN: 1849967644 ISBN-13(EAN): 9781849967648 Издательство: Springer Рейтинг: Цена: 9781.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The field of bioinformatics continues to develop energetically. This second edition covers new findings using the formula of the original text. It is self-contained, bringing together the multiple disciplines necessary for a profound grasp of the field.
Автор: Wallace F. Marshall Название: Introduction to Quantitative Cell Biology ISBN: 1615046682 ISBN-13(EAN): 9781615046683 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 3756.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Offers an introductory overview of the various approaches, methods, techniques, and models employed in quantitative cell biology. Particular emphasis is placed on the goals and purpose of quantitative analysis and modelling, and the special challenges that cell biology holds for understanding life at the physical level.
Автор: Knight Regan Название: An Introduction to Bioinformatics ISBN: 1635490456 ISBN-13(EAN): 9781635490459 Издательство: Неизвестно Рейтинг: Цена: 23335.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bioinformatics is an amalgamation of mathematics, engineering, computer sciences and statistics. It refers to the practice of using software tools to understand biological data. This book explores all the important aspects of bioinformatics in the present day scenario. It elaborates the different branches related to the subject and their applications. While understanding the long-term perspectives of the topics, the book makes an effort in highlighting their impact as a modern tool for the growth of bioinformatics. This text, with its detailed analyses and data, will prove immensely beneficial to students involved in this area at various levels. It will be of great help to those in the fields of genetics, forensic science and evolutionary biology.
Название: Membrane Protein Bioinformatics ISBN: 1466573228 ISBN-13(EAN): 9781466573222 Издательство: Taylor&Francis Рейтинг: Цена: 11790.00 р. Наличие на складе: Нет в наличии.
Автор: Jeremy J. Ramsden Название: Bioinformatics: An Introduction ISBN: 9401570965 ISBN-13(EAN): 9789401570961 Издательство: Springer Рейтинг: Цена: 16979.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This interpretation enables a remarkably unified view of the entire field of biology to be taken and hence offers an excellent entry point into the life sciences for those for whom biology is unfamiliar.
Автор: Ramsden Jeremy Название: Bioinformatics ISBN: 1447168658 ISBN-13(EAN): 9781447168652 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This comprehensive textbook presents a self-contained guide to bioinformatics, defined in its broadest sense as the application of information science to biology. Thoroughly updated and greatly expanded, this third edition now includes material on the growing array of “-omics”; covering metagenomics, toxicogenomics, glycomics, lipidomics, microbiomics and phenomics. New chapters have also been added on ecosystems management and the nervous system. Emphasis is placed on providing both a firm grounding in the core concepts and a clear overview of the complete field of bioinformatics. Features: explains the fundamentals of information science relevant to biology; covers both organismal (ontogeny and phylogeny, as well as genome structure) and molecular aspects; examines the most important practical applications of bioinformatics, providing detailed descriptions of both the experimental process and the data analysis; provides a varied selection of problems throughout the book, to stimulate further thinking.
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