From 0237e1c6d0973cbce6a6c764065a55d8116ad403 Mon Sep 17 00:00:00 2001 From: Anna Zhukova Date: Wed, 15 Jun 2022 16:49:05 +0200 Subject: [PATCH] Added badges to README --- README.md | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/README.md b/README.md index e6458da..298bba9 100644 --- a/README.md +++ b/README.md @@ -4,6 +4,13 @@ PhyloDeep is a python library for parameter estimation and model selection from For more information on the method, including the covered parameter subspace, please refer to the preprint here: [bioRxiv](https://www.biorxiv.org/content/10.1101/2021.03.11.435006v3). + +[//]: # ([![DOI:10.1101/2021.03.11.435006](https://zenodo.org/badge/DOI/10.1101/2021.03.11.435006)](https://doi.org/10.1101/2021.03.11.435006)) +[![GitHub release](https://img.shields.io/github/v/release/evolbioinfo/phylodeep.svg)](https://github.com/evolbioinfo/phylodeep/releases) +[![PyPI version](https://badge.fury.io/py/phylodeep.svg)](https://pypi.org/project/phylodeep/) +[![PyPI downloads](https://shields.io/pypi/dm/phylodeep)](https://pypi.org/project/phylodeep/) +[![Docker pulls](https://img.shields.io/docker/pulls/evolbioinfo/phylodeep)](https://hub.docker.com/r/evolbioinfo/phylodeep/tags) + Together with the phylodeep package code (in the folder phylodeep), we provide: - all data shown in the preprint (in the folder [data_publication](data_publication)) - used simulators to train deep learners (in the folder [simulators](simulators))