From e1c9da12e242cef40f5ec0a9c3753a252d1a4ecf Mon Sep 17 00:00:00 2001 From: Konstantin Krismer Date: Sun, 3 May 2020 11:23:39 -0400 Subject: [PATCH] Update Bioconductor badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f123f33..9bd62e3 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # IDR2D: Irreproducible Discovery Rate for Genomic Interactions -[![license: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Travis build status](https://travis-ci.org/kkrismer/idr2d.svg?branch=master)](https://travis-ci.org/kkrismer/idr2d) [![DOI](https://img.shields.io/badge/DOI-10.1101%2F691295-blue.svg)](https://doi.org/10.1093/nar/gkaa030) [![BioC](https://img.shields.io/badge/BioC-1.0.4-brightgreen.svg)](https://doi.org/doi:10.18129/B9.bioc.idr2d) [![platforms](https://www.bioconductor.org/shields/availability/3.11/idr2d.svg)](https://www.bioconductor.org/packages/release/bioc/html/idr2d.html#archives) [![Coverage Status](https://coveralls.io/repos/github/kkrismer/idr2d/badge.svg?branch=master)](https://coveralls.io/github/kkrismer/idr2d?branch=master) +[![license: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT) [![Travis build status](https://travis-ci.org/kkrismer/idr2d.svg?branch=master)](https://travis-ci.org/kkrismer/idr2d) [![DOI](https://img.shields.io/badge/DOI-10.1101%2F691295-blue.svg)](https://doi.org/10.1093/nar/gkaa030) [![BioC](https://img.shields.io/badge/BioC-1.2.1-brightgreen.svg)](https://doi.org/doi:10.18129/B9.bioc.idr2d) [![platforms](https://www.bioconductor.org/shields/availability/3.11/idr2d.svg)](https://www.bioconductor.org/packages/release/bioc/html/idr2d.html#archives) [![Coverage Status](https://coveralls.io/repos/github/kkrismer/idr2d/badge.svg?branch=master)](https://coveralls.io/github/kkrismer/idr2d?branch=master) Chromatin interaction data from protocols such as ChIA-PET and HiChIP provide valuable insights into genome organization and gene regulation, but can include spurious interactions that do not reflect underlying genome biology. We introduce a generalization of the Irreproducible Discovery Rate (IDR) method called IDR2D that identifies replicable interactions shared by experiments. IDR2D provides a principled set of interactions and eliminates artifacts from single experiments.