找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Nature in Silico; Population Genetic S Ryan J. Haasl Textbook 2022 Springer Nature Switzerland AG 2022 Population genetics.Population genom

[復制鏈接]
查看: 18232|回復: 40
樓主
發(fā)表于 2025-3-21 17:23:37 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Nature in Silico
副標題Population Genetic S
編輯Ryan J. Haasl
視頻videohttp://file.papertrans.cn/663/662031/662031.mp4
概述Provides numerous coding examples throughout the book.Contains coding problems at the end of each main chapter with solutions provided for select examples online.Contains 100 figures showing summaries
圖書封面Titlebook: Nature in Silico; Population Genetic S Ryan J. Haasl Textbook 2022 Springer Nature Switzerland AG 2022 Population genetics.Population genom
描述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. Although retrospective, coalescent simulation is computationally efficient—and covered here—the primary focus of this book is forward-in-time simulation, which frees us to simulate a wider variety of realistic microevolutionary models. The book walks the reader through the development of a forward-in-time evolutionary simulator dubbed FORward Time simUlatioN Application (FORTUNA). The capacity of FORTUNA grows with each chapter through the addition of a new evolutionary factor to its code. Each chapter also reviews the relevant theory and links simulation results to key evolutionary insights. The book addresses visualization of results through development of R code and reference to more than 100 figures. All code discussedin the book is freely available, which the reader may use directly or modify to better suit his or her own research needs. Advanced undergraduate students, graduate students, and professional researchers wi
出版日期Textbook 2022
關(guān)鍵詞Population genetics; Population genomics; Ecological genetics; Simulation‐based inference; Spatially?]ex
版次1
doihttps://doi.org/10.1007/978-3-030-97381-0
isbn_softcover978-3-030-97383-4
isbn_ebook978-3-030-97381-0
copyrightSpringer Nature Switzerland AG 2022
The information of publication is updating

書目名稱Nature in Silico影響因子(影響力)




書目名稱Nature in Silico影響因子(影響力)學科排名




書目名稱Nature in Silico網(wǎng)絡公開度




書目名稱Nature in Silico網(wǎng)絡公開度學科排名




書目名稱Nature in Silico被引頻次




書目名稱Nature in Silico被引頻次學科排名




書目名稱Nature in Silico年度引用




書目名稱Nature in Silico年度引用學科排名




書目名稱Nature in Silico讀者反饋




書目名稱Nature in Silico讀者反饋學科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 23:30:05 | 只看該作者
Retrospective and Prospective Simulation,A critical competency for the evolutionary geneticist to possess is the accurate discernment of the advantages and disadvantages of prospective and retrospective simulation.
板凳
發(fā)表于 2025-3-22 03:13:41 | 只看該作者
地板
發(fā)表于 2025-3-22 06:46:25 | 只看該作者
5#
發(fā)表于 2025-3-22 11:23:19 | 只看該作者
6#
發(fā)表于 2025-3-22 15:11:44 | 只看該作者
7#
發(fā)表于 2025-3-22 18:23:25 | 只看該作者
8#
發(fā)表于 2025-3-23 00:40:57 | 只看該作者
9#
發(fā)表于 2025-3-23 02:05:57 | 只看該作者
Textbook 2022tion structure, natural selection, meiotic recombination, demographic change, and explicit spatial geographies. Although retrospective, coalescent simulation is computationally efficient—and covered here—the primary focus of this book is forward-in-time simulation, which frees us to simulate a wider
10#
發(fā)表于 2025-3-23 05:46:39 | 只看該作者
Mutation and Genetic Drift,s on population size. In this chapter, we focus on simulations that introduce variation by mutation and random fluctuations in allele frequencies due to finite population size. We restrict our consideration of mutation to single nucleotide variants (SNVs) resulting from point mutation of a single nucleotide.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-26 05:07
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
时尚| 铜川市| 和平县| 九寨沟县| 马龙县| 许昌县| 探索| 汕头市| 分宜县| 海宁市| 旬邑县| 满洲里市| 延安市| 交城县| 新乡县| 安龙县| 右玉县| 苍梧县| 彭水| 陆川县| 曲阜市| 康马县| 杭锦旗| 江山市| 惠安县| 莱西市| 高青县| 太原市| 临猗县| 土默特左旗| 滨海县| 乡宁县| 班戈县| 资阳市| 西林县| 汪清县| 乌兰浩特市| 明水县| 铁力市| 榆树市| 潞西市|