22%OFF
Quantifying Life: A Symbiosis of Computation, Mathematics, and Biology
Dmitry A. Kondrashov
€ 41.99
€ 32.78
FREE Delivery in Ireland
Description for Quantifying Life: A Symbiosis of Computation, Mathematics, and Biology
Paperback. Num Pages: 296 pages. BIC Classification: PB; PS. Category: (P) Professional & Vocational. Dimension: 231 x 154 x 27. Weight in Grams: 606.
Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the past three decades, as advances in molecular biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while quantitative approaches are now providing fundamental insights into biological systems, the college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational and probabilistic mathematical approaches that dominate in biological research.
With Quantifying Life, Dmitry ... Read more
Since the time of Isaac Newton, physicists have used mathematics to describe the behavior of matter of all sizes, from subatomic particles to galaxies. In the past three decades, as advances in molecular biology have produced an avalanche of data, computational and mathematical techniques have also become necessary tools in the arsenal of biologists. But while quantitative approaches are now providing fundamental insights into biological systems, the college curriculum for biologists has not caught up, and most biology majors are never exposed to the computational and probabilistic mathematical approaches that dominate in biological research.
With Quantifying Life, Dmitry ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
University Of Chicago Press
Condition
New
Number of Pages
418
Place of Publication
, United States
ISBN
9780226371764
SKU
V9780226371764
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
Reviews for Quantifying Life: A Symbiosis of Computation, Mathematics, and Biology