adding easyconfigs: ebGSEA-0.1.0-foss-2022a-R-4.2.1.eb

easybuild/easyconfigs/e/ebGSEA/ebGSEA-0.1.0-foss-2022a-R-4.2.1.eb

@@ -0,0 +1,49 @@
+easyblock = 'Bundle'
+
+name = 'ebGSEA'
+version = '0.1.0'
+versionsuffix = '-R-%(rver)s'
+
+local_commit = 'b307931'
+
+homepage = 'https://github.com/aet21/ebGSEA'
+description = """Gene Set Enrichment Analysis is one of the most common tasks in the analysis of omic data,
+ and is critical for biological interpretation. In the context of Epigenome Wide Association Studies (EWAS),
+ which typically rank individual cytosines according to the level of differential methylation, enrichment
+ analysis of biological pathways is challenging due to differences in CpG/probe density between genes."""
+
+toolchain = {'name': 'foss', 'version': '2022a'}
+
+dependencies = [
+    ('R', '4.2.1'),
+    ('R-bundle-Bioconductor', '3.15', versionsuffix),
+]
+
+exts_defaultclass = 'RPackage'
+exts_default_options = {
+    'sources': ['%(name)s_%(version)s.tar.gz'],
+    'source_urls': [
+        'https://cran.r-project.org/src/contrib/Archive/%(name)s',  # package archive
+        'https://cran.r-project.org/src/contrib/',  # current version of packages
+        'https://cran.freestatistics.org/src/contrib',  # mirror alternative for current packages
+    ],
+}
+
+exts_list = [
+    ('kpmt', '0.1.0', {
+        'checksums': ['6342ad02c93bfa7a764d028821bb6115bb8bc8c55b057a5860736cc0e034a295'],
+    }),
+    (name, version, {
+        'source_urls': ['https://github.com/aet21/ebGSEA/raw/%s/' % local_commit],
+        'checksums': ['a7cb470a884d4455e2754b40bd010b43a0f048e968ab00101d11f91310fab380'],
+    }),
+]
+
+modextrapaths = {'R_LIBS_SITE': ''}
+
+sanity_check_paths = {
+    'files': [],
+    'dirs': [name],
+}
+
+moduleclass = 'bio'