Titlebook: Evolutionary Biology—A Transdisciplinary Approach; Pierre Pontarotti Book 2020 Springer Nature Switzerland AG 2020 Evolutionary biology co

Stubborn

書目名稱Evolutionary Biology—A Transdisciplinary Approach影響因子(影響力)




書目名稱Evolutionary Biology—A Transdisciplinary Approach影響因子(影響力)學(xué)科排名




書目名稱Evolutionary Biology—A Transdisciplinary Approach網(wǎng)絡(luò)公開(kāi)度




書目名稱Evolutionary Biology—A Transdisciplinary Approach網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Evolutionary Biology—A Transdisciplinary Approach被引頻次




書目名稱Evolutionary Biology—A Transdisciplinary Approach被引頻次學(xué)科排名




書目名稱Evolutionary Biology—A Transdisciplinary Approach年度引用




書目名稱Evolutionary Biology—A Transdisciplinary Approach年度引用學(xué)科排名




書目名稱Evolutionary Biology—A Transdisciplinary Approach讀者反饋




書目名稱Evolutionary Biology—A Transdisciplinary Approach讀者反饋學(xué)科排名

Overthrow

,Molecular Phenotypes as Key Intermediates in Mapping Genotypes to?Fitness,cal considerations or learned from evolutionary data (fitness measurements for a collection of genotypes). Thus, instead of being a high-dimensional function of genotypes, fitness becomes a low-dimensional function of one or several phenotypes, making it much easier to visualize fitness landscapes a

Evocative

nugatory

anarchist

Diversity and Evolution of RNase P,e P. A distinct form of protein-only RNase P (PRORP) apparently originated at the root of eukaryal evolution. In lineages of four of the five eukaryal supergroups, PRORP replaced the RNA-based enzyme in one or more of the cellular compartments that harbor a tRNA processing machinery. In metazoan mit

硬化

硬化

GLIB

雜色

https://doi.org/10.1007/978-981-13-7924-6ly observed in ., therewith confirming a marked nuclear/mitochondrial discordance. The bufo-e3 and e6 haplogroups correspond to separate nuclear genetic lineages of . in the Alps and the Apennines, respectively. These groups engage in a wide zone of intergradation (109.3?km). . populations from the

披肩

,Winch on Political Authority &?Obedience,cal considerations or learned from evolutionary data (fitness measurements for a collection of genotypes). Thus, instead of being a high-dimensional function of genotypes, fitness becomes a low-dimensional function of one or several phenotypes, making it much easier to visualize fitness landscapes a