Amazing Numbers in Biology
Title | Amazing Numbers in Biology PDF eBook |
Author | Rainer Flindt |
Publisher | Springer Science & Business Media |
Pages | 301 |
Release | 2006-12-21 |
Genre | Science |
ISBN | 354030147X |
This book of tables provides comparative data from the fields of zoology, botany, microbiology, and human biology. It is a "must" for everyone interested in biology but also of help for all parents to address questions such as "Mama/Papa, how old can a ... be?" The plain facts of life from all areas of biology, including such topics as growth rates of hair and nails, and ages and weights of seeds are simply fascinating. Biology comes alive in this comprehensive and entertaining reference work. Warning: Anybody who begins browsing through this book will not easily stop reading!
Cell Biology by the Numbers
Title | Cell Biology by the Numbers PDF eBook |
Author | Ron Milo |
Publisher | Garland Science |
Pages | 400 |
Release | 2015-12-07 |
Genre | Science |
ISBN | 1317230698 |
A Top 25 CHOICE 2016 Title, and recipient of the CHOICE Outstanding Academic Title (OAT) Award. How much energy is released in ATP hydrolysis? How many mRNAs are in a cell? How genetically similar are two random people? What is faster, transcription or translation?Cell Biology by the Numbers explores these questions and dozens of others provid
Biology by Numbers
Title | Biology by Numbers PDF eBook |
Author | Richard F. Burton |
Publisher | Cambridge University Press |
Pages | 260 |
Release | 1998-02-26 |
Genre | Mathematics |
ISBN | 9780521576987 |
A practical undergraduate textbook for maths-shy biology students showing how basic maths reveals important insights.
A Mind for Numbers
Title | A Mind for Numbers PDF eBook |
Author | Barbara A. Oakley |
Publisher | TarcherPerigee |
Pages | 338 |
Release | 2014-07-31 |
Genre | Mathematics |
ISBN | 039916524X |
Engineering professor Barbara Oakley knows firsthand how it feels to struggle with math. In her book, she offers you the tools needed to get a better grasp of that intimidating but inescapable field.
Physical Biology of the Cell
Title | Physical Biology of the Cell PDF eBook |
Author | Rob Phillips |
Publisher | Garland Science |
Pages | 1089 |
Release | 2012-10-29 |
Genre | Science |
ISBN | 1134111584 |
Physical Biology of the Cell is a textbook for a first course in physical biology or biophysics for undergraduate or graduate students. It maps the huge and complex landscape of cell and molecular biology from the distinct perspective of physical biology. As a key organizing principle, the proximity of topics is based on the physical concepts that
The Vital Question
Title | The Vital Question PDF eBook |
Author | Nick Lane |
Publisher | |
Pages | 0 |
Release | 2016 |
Genre | Cells |
ISBN | 9781781250372 |
A game-changing book on the origins of life, called the most important scientific discovery 'since the Copernican revolution' in The Observer.
Computational Systems Biology of Cancer
Title | Computational Systems Biology of Cancer PDF eBook |
Author | Emmanuel Barillot |
Publisher | CRC Press |
Pages | 463 |
Release | 2012-08-25 |
Genre | Science |
ISBN | 1439831440 |
The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.