Your browser doesn't support javascript.
loading
ipyrad: Interactive assembly and analysis of RADseq datasets.
Eaton, Deren A R; Overcast, Isaac.
Afiliación
  • Eaton DAR; Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY 10027, USA.
  • Overcast I; Department of Biology, Graduate School, University Center of the City University of New York, New York, NY 10016, USA.
Bioinformatics ; 36(8): 2592-2594, 2020 04 15.
Article en En | MEDLINE | ID: mdl-31904816
ABSTRACT

SUMMARY:

ipyrad is a free and open source tool for assembling and analyzing restriction site-associated DNA sequence datasets using de novo and/or reference-based approaches. It is designed to be massively scalable to hundreds of taxa and thousands of samples, and can be efficiently parallelized on high performance computing clusters. It is available both as a command line interface and as a Python package with an application programming interface, the latter of which can be used interactively to write complex, reproducible scripts and implement a suite of downstream analysis tools. AVAILABILITY AND IMPLEMENTATION ipyrad is a free and open source program written in Python. Source code is available from the GitHub repository (https//github.com/dereneaton/ipyrad/), and Linux and MacOS installs are distributed through the conda package manager. Complete documentation, including numerous tutorials, and Jupyter notebooks demonstrating example assemblies and applications of downstream analysis tools are available online https//ipyrad.readthedocs.io/.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Documentación Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Documentación Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos