盖革计数器
计算机科学
源代码
R包
系统发育树
一套
范围(计算机科学)
编码(集合论)
数据挖掘
数据科学
生物
集合(抽象数据类型)
程序设计语言
遗传学
物理
地理
基因
光学
考古
作者
Matthew W. Pennell,Jonathan M. Eastman,Graham J. Slater,Joseph W. Brown,Josef C. Uyeda,Richard G. FitzJohn,Michael E. Alfaro,Luke J. Harmon
出处
期刊:Bioinformatics
[Oxford University Press]
日期:2014-04-10
卷期号:30 (15): 2216-2218
被引量:937
标识
DOI:10.1093/bioinformatics/btu181
摘要
Abstract Summary: Phylogenetic comparative methods are essential for addressing evolutionary hypotheses with interspecific data. The scale and scope of such data have increased dramatically in the past few years. Many existing approaches are either computationally infeasible or inappropriate for data of this size. To address both of these problems, we present geiger v2.0 , a complete overhaul of the popular R package geiger . We have reimplemented existing methods with more efficient algorithms and have developed several new approaches for accomodating heterogeneous models and data types. Availability and implementation: This R package is available on the CRAN repository http://cran.r-project.org/web/packages/geiger/ . All source code is also available on github http://github.com/mwpennell/geiger-v2 . geiger v2.0 depends on the ape package. Contact: mwpennell@gmail.com Supplementary information: Supplementary data are available at Bioinformatics online
科研通智能强力驱动
Strongly Powered by AbleSci AI