Coder Social home page Coder Social logo

pebgroup / dypsidinae_species_tree Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 847 KB

Reconstructing the species tree of palm subtribe Dypsidinae using the target capture loci of Heyduk et al. 2016 (doi: 10.1111/bij.12551)

License: GNU General Public License v3.0

Python 60.95% Shell 23.42% R 15.63%
phylogenomics arecaceae ppwg madclades

dypsidinae_species_tree's Introduction

Analysis of Dypsidinae target capture data

Wolf Eiserhardt ([email protected])

Overview

This analysis of subtribe Dypsidinae was conducted at two levels:

  1. A broad-scale, thinly sampled analysis of tribe Areceae to establish monophyly of subtribe Dypsidinae and identify one or several closely related subtribes/genera to be used as outgroups in the following species-level analysis. This analysis uses the PhyloPalms baits of Loiseau et al. (2019).

A description of the pipeline for this analysis can be found here.

  1. A narrower, species-level analysis of subtribe Dypsidinae plus Loxococcus rupicola (Thwaites) H.Wendl. & Drude as an outgroup. This analysis uses the palm baits of Heyduk et al. 2016.

A description of the pipeline for this analysis can be found here.

Disclaimer

The purpose of this repository is documenting the analyses behind the below manuscript. Think extended Materials & Methods. This is neither a pipeline, nor is it supposed to run with other datasets or on other machines. You are welcome to use any of this for your own purposes, but please do not expect it to work without issues, or get any help.

Associated manuscript

Eiserhardt WL, Bellot S, Cowan RS, Dransfield J, Hansen LESF, Heyduk K, Rabarijaona RN, Rakotoarinivo M & Baker WJ (in prep.): Phylogenomics and generic limits of Dypsidinae (Arecaceae), the largest palm radiation in Madagascar.

dypsidinae_species_tree's People

Contributors

weiserhardt avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.