Add recipe for hicrep by Tao Yang. (#6213)

recipes/bioconductor-hicrep/build.sh

@@ -0,0 +1,4 @@
+#!/bin/bash
+mv DESCRIPTION DESCRIPTION.old
+grep -v '^Priority: ' DESCRIPTION.old > DESCRIPTION
+$R CMD INSTALL --build .

recipes/bioconductor-hicrep/meta.yaml

@@ -0,0 +1,39 @@
+{% set version="1.0.0" %}
+{% set name="hicrep" %}
+
+package:
+  name: 'bioconductor-{{ name|lower}}'
+  version: '{{ version }}'
+source:
+  fn: '{{ name }}_{{ version }}.tar.gz'
+  url:
+    - 'http://bioconductor.org/packages/3.5/bioc/src/contrib/{{ name }}_{{ version }}.tar.gz'
+    - 'https://bioarchive.galaxyproject.org/{{ name }}_{{ version }}.tar.gz'
+    - 'https://depot.galaxyproject.org/software/{{ name }}/{{ name }}_{{ version }}_src_all.tar.gz'
+  sha256: c0ae75a9c6558031a1cde17fde9a1a571d17d2a15843ad90fb2ebcb27eef1600
+build:
+  number: 0
+  rpaths:
+    - lib/R/lib/
+    - lib/
+requirements:
+  build:
+    - 'r-base >=3.4'
+  run:
+    - 'r-base >=3.4'
+test:
+  commands:
+    - '$R -e "library(''hicrep'')"'
+about:
+  home: http://bioconductor.org/packages/3.5/bioc/html/hicrep.html
+  license: 'GPL (>= 2.0)'
+  summary: 'Hi-C is a powerful technology for studying genome-wide chromatin interactions.
+    However, current methods for assessing Hi-C data reproducibility can produce misleading
+    results because they ignore spatial features in Hi-C data, such as domain structure
+    and distance-dependence. We present a novel reproducibility measure that systematically
+    takes these features into consideration. This measure can assess pairwise differences
+    between Hi-C matrices under a wide range of settings, and can be used to determine
+    optimal sequencing depth. Compared to existing approaches, it consistently shows
+    higher accuracy in distinguishing subtle differences in reproducibility and depicting
+    interrelationships of cell lineages than existing approaches. This R package `hicrep`
+    implements our approach.'