V. Bloomfield – Computer Simulation and Data Analysis in Molecular Biology Using R
982 ₽
Автор: V. Bloomfield
Название книги: Computer Simulation and Data Analysis in Molecular Biology Using R
Формат: PDF
Жанр: Биоинформатика
Страницы: 321
Качество: Изначально компьютерное, E-book
This book provides an introduction to two important aspects of modern bioch- istry, molecular biology, and biophysics: computer simulation and data analysis. My aim is to introduce the tools that will enable students to learn and use some f- damental methods to construct quantitative models of biological mechanisms, both deterministicandwithsomeelementsofrandomness;tolearnhowconceptsofpr- ability can help to understand important features of DNA sequences; and to apply a useful set of statistical methods to analysis of experimental data. The availability of very capable but inexpensive personal computers and software makes it possible to do such work at a much higher level, but in a much easier way, than ever before. TheExecutiveSummaryofthein?uential2003reportfromtheNationalAcademy of Sciences, “BIO 2010: Transforming Undergraduate Education for Future – search Biologists” [12], begins The interplay of the recombinant DNA, instrumentation, and digital revolutions has p- foundly transformed biological research. The con?uence of these three innovations has led to important discoveries, such as the mapping of the human genome. How biologists design, perform, and analyze experiments is changing swiftly. Biological concepts and models are becoming more quantitative, and biological research has become critically dependent on concepts and methods drawn from other scienti?c disciplines. The connections between the biological sciences and the physical sciences, mathematics, and computer science are rapidly becoming deeper and more extensive.
Описание
V. Bloomfield – Computer Simulation and Data Analysis in Molecular Biology Using R (2009) — практическое руководство по применению языка R для моделирования и анализа данных в молекулярной биологии. Книга показывает, как с помощью статистического программирования решать реальные задачи биоинформатики: от анализа последовательностей и структур белков до симуляции биологических процессов.
Автор подробно разбирает ключевые методы: Monte Carlo симуляции, анализ данных секвенирования, статистическую обработку экспериментальных результатов, визуализацию биологических данных и построение моделей. Всё объясняется на конкретных примерах с готовым рабочим кодом на R.
- студентам и аспирантам биологических и биоинформатических специальностей
- исследователям, работающим с молекулярными данными
- биологам, желающим освоить современные инструменты анализа
- специалистам, переходящим из других областей в computational biology
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