diff --git a/EM/EMAN/README.md b/EM/EMAN/README.md
new file mode 100644
index 0000000..5636bcb
--- /dev/null
+++ b/EM/EMAN/README.md
@@ -0,0 +1,10 @@
+# EMAN
+
+From version 2.99.53 (Oct. 23) EMAN is built as a conda package. 
+
+Current installation on Merlin7 (Nov 24) is 2.99.66
+
+
+### Hints
+
+conda installation on A100 GPU 
diff --git a/EM/EMAN/build b/EM/EMAN/build
index e72e4e4..789c7bd 100755
--- a/EM/EMAN/build
+++ b/EM/EMAN/build
@@ -1,23 +1,27 @@
 #!/usr/bin/env modbuild
 
-pbuild::add_to_group 'EM'
-
-pbuild::prep() {    
-    local EMAN2DL="${PMODULES_TMPDIR:-/tmp}/eman${V}_sphire1.4_sparx.linux64.sh"
-
-    if ! [ -f "$EMAN2DL" ]; then
-        wget -O "$EMAN2DL" "https://cryoem.bcm.edu/cryoem/static/software/release-${V}/eman${V}_sphire1.4_sparx.linux64.sh"
-    fi
-}
 
 pbuild::configure() {
+    #MINICONDA INSTALL
+    mkdir -p  "$PREFIX/miniconda"
+    wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O "$PREFIX/miniconda/miniconda.sh"
+    bash "$PREFIX/miniconda/miniconda.sh" -b -u -p "$PREFIX/miniconda/"
+
+ 
+    #CREATE ENV , make sure to source the "correct" conda.sh
+    "$PREFIX/miniconda/condabin/conda" env create --name "${P}_${V}" -f "$BUILDBLOCK_DIR/environment.yaml"
+
+}
+
+#DO NOTHING
+pbuild::compile(){
     :
 }
 
-pbuild::install() {
+pbuild::install(){
     :
 }
 
-pbuild::compile() {
-    bash ${PMODULES_TMPDIR:-/tmp}/eman${V}_sphire1.4_sparx.linux64.sh -u -b -p $PREFIX 
-}
+
+
+
diff --git a/EM/EMAN/environment.yaml b/EM/EMAN/environment.yaml
new file mode 100644
index 0000000..ad410e6
--- /dev/null
+++ b/EM/EMAN/environment.yaml
@@ -0,0 +1,5 @@
+channels:
+  - cryoem
+  - conda-forge
+dependencies:
+  - eman-dev
diff --git a/EM/EMAN/files/config.yaml b/EM/EMAN/files/config.yaml
new file mode 100644
index 0000000..0fce05e
--- /dev/null
+++ b/EM/EMAN/files/config.yaml
@@ -0,0 +1,13 @@
+---
+format: 1
+EMAN:
+  defaults:
+    group: EM
+    overlay: base
+    relstage: unstable
+  versions:
+    2.99.66:
+      variants:
+        - overlay: Alps 
+          systems: [.*.merlin7.psi.ch]
+          relstage: unstable
diff --git a/EM/EMAN/files/variants b/EM/EMAN/files/variants
deleted file mode 100644
index f50340f..0000000
--- a/EM/EMAN/files/variants
+++ /dev/null
@@ -1,2 +0,0 @@
-EMAN/2.99.47	unstable cuda/11.2.2
-EMAN/2.2        stable
diff --git a/EM/EMAN/modulefile b/EM/EMAN/modulefile
index ae15052..a664602 100644
--- a/EM/EMAN/modulefile
+++ b/EM/EMAN/modulefile
@@ -1,37 +1,34 @@
-#%Module1.0
+#%Module
 
-set dont-setenv {LD_LIBRARY_PATH}
+module-whatis	        "EMAN2 is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes "
+module-url		"https://blake.bcm.edu/emanwiki/EMAN2"
+module-license	        "GNU gerneral public license: GPLv2"
+module-maintainer	"Greta Assmann  <greta.assmann@psi.ch>"
 
-module-whatis           "EMAN(2) is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes"
-module-url              "https://blake.bcm.edu/emanwiki/EMAN2"
-module-license          "GPL license"
-module-maintainer       "Elsa Germann <elsa.germann@psi.ch>"
+module-help	"EMAN2 is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. EMAN2 is capable of processing large data sets (>100,000 particle) very efficiently"
 
-module-help             "EMAN2 is a broadly based greyscale scientific image processing suite with a primary focus on processing data from transmission electron microscopes. EMAN's original purpose was performing single particle reconstructions (3-D volumetric models from 2-D cryo-EM images) at the highest possible resolution, but the suite now also offers support for single particle cryo-ET, and tools useful in many other subdisciplines such as helical reconstruction, 2-D crystallography and whole-cell tomography. EMAN2 is capable of processing large data sets (>100,000 particle) very efficiently.
+# Check for supported shell types
+set shelltype [module-info shelltype]
+switch -- $shelltype {
+    "sh" {
+        puts stdout "conda(){ :; };"
+        puts stdout "set +u"
+        puts stdout "source \"${PREFIX}\"/miniconda/etc/profile.d/conda.sh;\n"
+    }
+    default {
+        puts stderr "Shells of type '$shelltype' are NOT supported!"
+    }
+}
 
-Please also note that this is not the (related) EMEN2 electronic notebook, but is EMAN2, a scientific image processing suite.
 
-Please Cite (and read)
+switch [module-info mode] {
+    "load" {
+      # Relies on the anaconda module being loaded since we need to update the path
+      puts stdout "conda activate ${P}_${V};\n"
+    }
+    "unload" -
+    "remove" {
+        puts stdout "conda deactivate;\n"
+    }
+}
 
-EMAN is free software, supported by NIH Grants. It is critical that you cite EMAN2 when you use it in a publication in any significant way, to help us document usage when trying to renew our funding. Feel free to cite any of these:
-
-    Primary EMAN2 paper:
-
-        G. Tang, L. Peng, P.R. Baldwin, D.S. Mann, W. Jiang, I. Rees & S.J. Ludtke. (2007) EMAN2: an extensible image processing suite for electron microscopy. J Struct Biol. 157, 38-46. PMID: 16859925 
-
-    Subnanometer resolution subtomogram averaging using PPPT methods:
-        Chen M, Bell JM, Shi X, Sun SY, Wang Z, Ludtke SJ. Nat Methods. (2019) A complete data processing workflow for cryo-ET and subtomogram averaging, Nat. Methods, 16(11):1161-1168, PMC31611690 
-
-    Neural Network Based Tomogram Segmentation
-        Chen M, Dai W, Sun SY, Jonasch D, He CY, Schmid MF, et al. (2017). Convolutional neural networks for automated annotation of cellular cryo-electron tomograms. Nat. Methods, 14(10), 983–5. PMCID: PMC5623144 
-
-    Neural Network Particle Picker
-        Bell JM, Chen M, Durmaz T, Fluty AC, Ludtke SJ. (2018). New software tools in EMAN2 inspired by EMDatabank map challenge. J. Struct. Biol. Elsevier;, 204(2), 283–90. 
-
-    EMAN2 high resolution refinement methods:
-
-        J.M. Bell, M. Chen, P.R. Baldwin & S.J. Ludtke. (2016) High Resolution Single Particle Refinement in EMAN2.1. Methods. 100, 25-34. PMC4848122 
-
-    Methods for analysis of conformational and compositional variability:
-        Ludtke, S. J. \"Single-Particle Refinement and Variability Analysis in EMAN2.1.\" in Methods Enzymol 579159-189 (Elsevier, United States, 2016). PMC5101015 
-"