Nature in Silico: population genetic simulation and its evolutionary interpretation using C++ and R
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cham
Springer International Publishing
2022
|
| Ausgabe: | 1st ed. 2022 |
| Schlagworte: | |
| Online-Zugang: | DE-634 DE-1028 DE-523 DE-19 DE-355 URL des Erstveröffentlichers |
| Beschreibung: | 1 Online-Ressource (XVIII, 313 Seiten) Illustrationen |
| ISBN: | 9783030973810 |
| DOI: | 10.1007/978-3-030-97381-0 |
Internformat
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| 650 | 4 | |a Plant Genetics | |
| 650 | 4 | |a Agricultural Genetics | |
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Datensatz im Suchindex
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| author | Haasl, Ryan J. |
| author_facet | Haasl, Ryan J. |
| author_role | aut |
| author_sort | Haasl, Ryan J. |
| author_variant | r j h rj rjh |
| building | Verbundindex |
| bvnumber | BV048496798 |
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| dewey-full | 577.82 |
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| discipline | Biologie |
| discipline_str_mv | Biologie |
| doi_str_mv | 10.1007/978-3-030-97381-0 |
| edition | 1st ed. 2022 |
| format | Electronic eBook |
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| id | DE-604.BV048496798 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T20:43:19Z |
| indexdate | 2024-08-14T00:44:26Z |
| institution | BVB |
| isbn | 9783030973810 |
| language | English |
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| physical | 1 Online-Ressource (XVIII, 313 Seiten) Illustrationen |
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| publishDate | 2022 |
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| publisher | Springer International Publishing |
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| spelling | Haasl, Ryan J. Verfasser aut Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R Ryan J. Haasl Cham Springer International Publishing 2022 1 Online-Ressource (XVIII, 313 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Community and Population Ecology Evolutionary Biology Landscape Ecology Computational and Systems Biology Plant Genetics Agricultural Genetics Biotic communities Population biology Evolution (Biology) Landscape ecology Bioinformatics Plant genetics Agricultural genome mapping Erscheint auch als Druck-Ausgabe 978-3-030-97380-3 Erscheint auch als Druck-Ausgabe 978-3-030-97382-7 Erscheint auch als Druck-Ausgabe 978-3-030-97383-4 https://doi.org/10.1007/978-3-030-97381-0 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Haasl, Ryan J. Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R Community and Population Ecology Evolutionary Biology Landscape Ecology Computational and Systems Biology Plant Genetics Agricultural Genetics Biotic communities Population biology Evolution (Biology) Landscape ecology Bioinformatics Plant genetics Agricultural genome mapping |
| title | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R |
| title_auth | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R |
| title_exact_search | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R |
| title_exact_search_txtP | Nature in Silico Population Genetic Simulation and its Evolutionary Interpretation Using C++ and R |
| title_full | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R Ryan J. Haasl |
| title_fullStr | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R Ryan J. Haasl |
| title_full_unstemmed | Nature in Silico population genetic simulation and its evolutionary interpretation using C++ and R Ryan J. Haasl |
| title_short | Nature in Silico |
| title_sort | nature in silico population genetic simulation and its evolutionary interpretation using c and r |
| title_sub | population genetic simulation and its evolutionary interpretation using C++ and R |
| topic | Community and Population Ecology Evolutionary Biology Landscape Ecology Computational and Systems Biology Plant Genetics Agricultural Genetics Biotic communities Population biology Evolution (Biology) Landscape ecology Bioinformatics Plant genetics Agricultural genome mapping |
| topic_facet | Community and Population Ecology Evolutionary Biology Landscape Ecology Computational and Systems Biology Plant Genetics Agricultural Genetics Biotic communities Population biology Evolution (Biology) Landscape ecology Bioinformatics Plant genetics Agricultural genome mapping |
| url | https://doi.org/10.1007/978-3-030-97381-0 |
| work_keys_str_mv | AT haaslryanj natureinsilicopopulationgeneticsimulationanditsevolutionaryinterpretationusingcandr |