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Nature in Silico: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R Ryan J. Haasl 1st ed. 2022 edition
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発送予定日 年10月26日 - 年11月5日
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Nature in Silico: Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R
Ryan J. Haasl
Dramatic advances in computing power enable simulation of DNA sequences generated by complex microevolutionary scenarios that include mutation, population structure, natural selection, meiotic recombination, demographic change, and explicit spatial geographies.
336 pages, 96 Illustrations, black and white; IV, 336 p. 96 illus.
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2022年9月2日 |
| ISBN13 | 9783030973803 |
| 出版社 | Springer Nature Switzerland AG |
| ページ数 | 313 |
| 寸法 | 150 × 220 × 20 mm · 664 g |
| 言語 | ドイツ語 |
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