diff --git a/conda/meta.yaml b/conda/meta.yaml
index 1174ef32594744ee55785fb7814a47182cb58a03..126977b7139886916969a25025f5734e2cbaf5f1 100644
--- a/conda/meta.yaml
+++ b/conda/meta.yaml
@@ -75,6 +75,10 @@ test:
     - coverage
     - sphinx
     - sphinx_rtd_theme
+    - bob.io.image
+    - bob.db.atnt
+    - matplotlib
+    - gridtk
 
 about:
   home: https://www.idiap.ch/software/bob/
diff --git a/doc/index.rst b/doc/index.rst
index 2d3051085f5782655eae66aa042e2d33b68b0674..d4141fc693bece4455423b4517e268af0e7aa38c 100644
--- a/doc/index.rst
+++ b/doc/index.rst
@@ -32,8 +32,7 @@ Here is a growing list of derived packages:
 * :ref:`bob.bio.spear <bob.bio.spear>` Tools to run speaker recognition experiments, including voice activity detection, Cepstral feature extraction, and speaker databases
 * :ref:`bob.bio.face <bob.bio.face>` Tools to run face recognition experiments, such as face detection, facial feature extraction and comparison, and face image databases
 * :ref:`bob.bio.video <bob.bio.video>` An extension of face recognition algorithms to run on video data, and the according video databases
-* :ref:`bob.bio.gmm <bob.bio.gmm>` Algorithms based on Gaussian Mixture Modeling (GMM) such as Inter-Session Variability modeling (ISV) or Total Variability modeling (TV, aka. I-Vector)
-* `bob.bio.csu <http://pypi.python.org/pypi/bob.bio.csu>`__ for wrapper classes of the `CSU Face Recognition Resources <http://www.cs.colostate.edu/facerec>`__ (see `Installation Instructions <http://pythonhosted.org/bob.bio.csu/installation.html>`__ of ``bob.bio.csu``).
+* :ref:`bob.bio.gmm <bob.bio.gmm>` Algorithms based on Gaussian Mixture Modeling (GMM) such as Inter-Session Variability modeling (ISV) or Total Variability modeling (TV, aka. I-Vector) [Pri07]_ and [ESM+13]_.
 
 
 If you run biometric recognition experiments using the bob.bio framework, please cite at least one of the following in your scientific publication: