diff --git a/src/find_interaction_cluster/config.py b/src/find_interaction_cluster/config.py
index 3c3d262c93c8d2dfa35e9e5c13e5b5d2a5caad5c..795e5a056f1482a199ec0f67a33d18bc96f10607 100644
--- a/src/find_interaction_cluster/config.py
+++ b/src/find_interaction_cluster/config.py
@@ -9,7 +9,8 @@ Description: Configuration folder
 from ..db_utils.config import Config
 from pathlib import Path
 from ..figures_utils.config_figures import get_good_project
-from typing import List
+from typing import List, Dict
+import pandas as pd
 
 
 def get_weight_folder(weight: int, global_weight: int):
@@ -81,7 +82,8 @@ def get_hipmcl_prog() -> Path:
     return get_hipmcl_folder() / "bin" / "hipmcl"
 
 
-def get_communities(result: Path, threshold: int = 0) -> List[List[str]]:
+def get_communities_basefile(result: Path, threshold: int = 0
+                             ) -> List[List[str]]:
     """
     Get the communities inside the file `result`
 
@@ -100,6 +102,31 @@ def get_communities(result: Path, threshold: int = 0) -> List[List[str]]:
     return communities
 
 
+def get_communities(result: Path, feature: str, threshold: int = 0,
+                    ) -> Dict[str, List[str]]:
+    """
+    Get the communities inside the file `result`
+
+    :param result: A file containing the communities found by the hipMCL \
+    program.
+    :param threshold: The number of exon the community must contains at least \
+    to be recovered
+    :param feature: The kind of feature analysed
+    :return: The list of communities find by the hipMCL program.
+
+    >>> get_communities(Config.tests_files / "test_community_file.txt", "gene",
+    ... 0)
+    {'C1': ['415', '416', '421', '422', '423', '433', '441', '475', \
+'481', '502', '511'], 'C2': ['10123', '10209', '8812', '9140', '9166']}
+    """
+    df = pd.read_csv(result, sep="\t")[["community", "nodes", f"{feature}s"]]
+    df = df[df["nodes"] >= threshold].copy()
+    df.index = df["community"]
+    df.drop(["nodes", "community"], axis=1, inplace=True)
+    dic = df.to_dict()[f"{feature}s"]
+    return {k: dic[k].split(", ") for k in dic}
+
+
 class ConfigGraph:
     """
     Class containing all the variables that will be used in this submodule
@@ -116,4 +143,3 @@ class ConfigGraph:
     get_hipmcl_prog = get_hipmcl_prog
     good_projects = get_good_project()
     ppi_threshold = 700
-