diff --git a/protzilla/constants/colors.py b/protzilla/constants/colors.py
index eec08b1b..0c6600f7 100644
--- a/protzilla/constants/colors.py
+++ b/protzilla/constants/colors.py
@@ -1,8 +1,14 @@
-PROTZILLA_DISCRETE_COLOR_SEQUENCE = [
+PLOT_COLOR_SEQUENCE = [
     "#4A536A",
-    "#87A8B9",
     "#CE5A5A",
+    "#87A8B9",
     "#8E3325",
     "#E2A46D",
 ]
-PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE = ["#4A536A", "#CE5A5A"]
+"""List of colors to use in plots."""
+
+PLOT_PRIMARY_COLOR = PLOT_COLOR_SEQUENCE[0]
+"""First color in list. Conventionally used for visualizing outliers."""
+
+PLOT_SECONDARY_COLOR = PLOT_COLOR_SEQUENCE[1]
+"""Second color in list."""
\ No newline at end of file
diff --git a/protzilla/constants/paths.py b/protzilla/constants/paths.py
index 6802d503..49364bda 100644
--- a/protzilla/constants/paths.py
+++ b/protzilla/constants/paths.py
@@ -1,8 +1,9 @@
 from pathlib import Path
 
 PROJECT_PATH = Path(__file__).resolve().parent.parent.parent
-RUNS_PATH = Path(PROJECT_PATH, "user_data/runs")
-WORKFLOWS_PATH = Path(PROJECT_PATH, "user_data/workflows")
+USER_DATA_PATH = Path(PROJECT_PATH, "user_data")
+RUNS_PATH = USER_DATA_PATH / "runs"
+WORKFLOWS_PATH = USER_DATA_PATH / "workflows"
 EXTERNAL_DATA_PATH = Path(PROJECT_PATH, "user_data/external_data")
 WORKFLOW_META_PATH = Path(PROJECT_PATH, "protzilla/constants/workflow_meta.json")
 UI_PATH = Path(PROJECT_PATH, "ui")
diff --git a/protzilla/data_analysis/model_evaluation_plots.py b/protzilla/data_analysis/model_evaluation_plots.py
index bae98b9b..644b202e 100644
--- a/protzilla/data_analysis/model_evaluation_plots.py
+++ b/protzilla/data_analysis/model_evaluation_plots.py
@@ -1,7 +1,7 @@
 import matplotlib.pyplot as plot
 from sklearn.metrics import PrecisionRecallDisplay, RocCurveDisplay
 
-from protzilla.constants.colors import PROTZILLA_DISCRETE_COLOR_SEQUENCE
+from protzilla.constants.colors import PLOT_PRIMARY_COLOR
 from protzilla.data_analysis.classification_helper import encode_labels
 from protzilla.utilities.utilities import fig_to_base64
 
@@ -28,7 +28,7 @@ def precision_recall_curve_plot(model, input_test_df, labels_test_df, plot_title
     display = PrecisionRecallDisplay.from_estimator(
         model, input_test_df, labels_test_df["Encoded Label"]
     )
-    display.plot(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[0])
+    display.plot(color=PLOT_PRIMARY_COLOR)
     plot.title(plot_title)
     return [fig_to_base64(display.figure_)]
 
@@ -55,6 +55,6 @@ def roc_curve_plot(model, input_test_df, labels_test_df, plot_title=None):
     display = RocCurveDisplay.from_estimator(
         model, input_test_df, labels_test_df["Encoded Label"]
     )
-    display.plot(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[0])
+    display.plot(color=PLOT_PRIMARY_COLOR)
     plot.title(plot_title)
     return [fig_to_base64(display.figure_)]
diff --git a/protzilla/data_analysis/plots.py b/protzilla/data_analysis/plots.py
index 84ae2b59..a01967a7 100644
--- a/protzilla/data_analysis/plots.py
+++ b/protzilla/data_analysis/plots.py
@@ -8,7 +8,7 @@
 from scipy import stats
 from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances
 
-from protzilla.constants.colors import PROTZILLA_DISCRETE_COLOR_SEQUENCE
+from protzilla.constants.colors import PLOT_COLOR_SEQUENCE, PLOT_PRIMARY_COLOR, PLOT_SECONDARY_COLOR
 from protzilla.utilities.clustergram import Clustergram
 from protzilla.utilities.transform_dfs import is_long_format, long_to_wide
 
@@ -171,11 +171,11 @@ def create_volcano_plot(
         )
     )
     fig.update_traces(
-        marker=dict(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[2]),
+        marker=dict(color=PLOT_SECONDARY_COLOR),
         selector=dict(name=f"Significant {item_type}s"),
     )
     fig.update_traces(
-        marker=dict(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[0]),
+        marker=dict(color=PLOT_PRIMARY_COLOR),
         selector=dict(name=f"Not Significant {item_type}s"),
     )
 
@@ -326,8 +326,8 @@ def prot_quant_plot(
     fig = go.Figure()
 
     color_mapping = {
-        "A": PROTZILLA_DISCRETE_COLOR_SEQUENCE[0],
-        "C": PROTZILLA_DISCRETE_COLOR_SEQUENCE[1],
+        "A": PLOT_PRIMARY_COLOR,
+        "C": PLOT_COLOR_SEQUENCE[2],
     }
 
     lower_upper_x = []
@@ -381,7 +381,7 @@ def prot_quant_plot(
                 y=wide_df[group],
                 mode="lines",
                 name=group[:15] + "..." if len(group) > 15 else group,
-                line=dict(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[1]),
+                line=dict(color=PLOT_COLOR_SEQUENCE[2]),
                 showlegend=len(similar_groups) <= 7,
             )
         )
@@ -392,7 +392,7 @@ def prot_quant_plot(
                 x=[None],
                 y=[None],
                 mode="lines",
-                line=dict(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[1]),
+                line=dict(color=PLOT_COLOR_SEQUENCE[2]),
                 name="Similar Protein Groups",
             )
         )
@@ -406,7 +406,7 @@ def prot_quant_plot(
             y=wide_df[protein_group],
             mode="lines",
             name=formatted_protein_name,
-            line=dict(color=PROTZILLA_DISCRETE_COLOR_SEQUENCE[2]),
+            line=dict(color=PLOT_SECONDARY_COLOR),
         )
     )
 
diff --git a/protzilla/data_integration/di_plots.py b/protzilla/data_integration/di_plots.py
index 74d50ff1..6e3cceeb 100644
--- a/protzilla/data_integration/di_plots.py
+++ b/protzilla/data_integration/di_plots.py
@@ -7,7 +7,7 @@
 from protzilla.constants.protzilla_logging import logger
 from protzilla.utilities.utilities import fig_to_base64
 
-from ..constants.colors import PROTZILLA_DISCRETE_COLOR_SEQUENCE
+from protzilla.constants.colors import PLOT_COLOR_SEQUENCE
 
 
 def GO_enrichment_bar_plot(
@@ -17,7 +17,7 @@ def GO_enrichment_bar_plot(
     value,
     gene_sets=[],
     title="",
-    colors=PROTZILLA_DISCRETE_COLOR_SEQUENCE,
+    colors=PLOT_COLOR_SEQUENCE,
     figsize=None,
 ):
     """
@@ -39,7 +39,7 @@ def GO_enrichment_bar_plot(
     :type value: str
     :param title: Title of the plot, defaults to ""
     :type title: str, optional
-    :param colors: Colors to use for the bars, defaults to PROTZILLA_DISCRETE_COLOR_SEQUENCE
+    :param colors: Colors to use for the bars, defaults to PROTZILLA_COLOR_SEQUENCE
     :type colors: list, optional
     :param figsize: Size of the plot, defaults to None and is calculated dynamically if not provided.
     :type figsize: tuple, optional
@@ -110,7 +110,7 @@ def GO_enrichment_bar_plot(
 
 
     if colors == "" or colors is None or len(colors) == 0:
-        colors = PROTZILLA_DISCRETE_COLOR_SEQUENCE
+        colors = PLOT_COLOR_SEQUENCE
     size_y = top_terms * 0.5 * len(gene_sets)
     try:
         ax = gseapy.barplot(
diff --git a/protzilla/data_preprocessing/plots.py b/protzilla/data_preprocessing/plots.py
index 6215f5c9..2a487eb6 100644
--- a/protzilla/data_preprocessing/plots.py
+++ b/protzilla/data_preprocessing/plots.py
@@ -7,9 +7,8 @@
 
 from protzilla.data_preprocessing.plots_helper import generate_tics
 from protzilla.utilities import default_intensity_column
-
-from ..constants.colors import PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE
-
+from protzilla.utilities.plot_template import *
+from protzilla.constants.colors import *
 
 def create_pie_plot(
     names_of_sectors: "list[str]",
@@ -21,7 +20,6 @@ def create_pie_plot(
     Especially helpful for visualisation of basic parts of
     a whole.
 
-    :param color: Optional argument to specify the colour of the pie chart
     :param names_of_sectors: Name of parts (so-called sectors) or categories
     :param values_of_sectors: Corresponding values for sectors
     :param heading: Header for the graph - for example the topic
@@ -32,21 +30,10 @@ def create_pie_plot(
 
     fig = px.pie(
         names=names_of_sectors,
-        values=values_of_sectors,
-        color_discrete_sequence=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE,
+        values=values_of_sectors
     )
 
-    fig.update_layout(
-        title={
-            "text": f"<b>{heading}</b>",
-            "font": dict(size=16),
-            "y": 0.98,
-            "x": 0.5,
-            "xanchor": "center",
-            "yanchor": "top",
-        },
-        font=dict(size=14, family="Arial"),
-    )
+    fig.update_layout(title={"text": f"<b>{heading}</b>"})
     fig.update_traces(hovertemplate="%{label} <br>Amount: %{value}")
     return fig
 
@@ -55,7 +42,6 @@ def create_bar_plot(
     names_of_sectors: "list[str]",
     values_of_sectors: "list[int]",
     heading: str = "",
-    colour: "list[str]" = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE,
     y_title: str = "",
     x_title: str = "",
 ) -> Figure:
@@ -64,7 +50,6 @@ def create_bar_plot(
     Especially helpful for visualisation of basic parts of
     a whole.
 
-    :param color: Optional argument to specify the colour of the bar chart
     :param names_of_sectors: Name of parts (so called sectors) or categories
     :param values_of_sectors: Corresponding values for sectors
     :param heading: Header for the graph - for example the topic
@@ -76,28 +61,13 @@ def create_bar_plot(
     fig = px.bar(
         x=names_of_sectors,
         y=values_of_sectors,
-        color=colour[: len(values_of_sectors)],
-        color_discrete_map="identity",
-    )
-
-    fig.update_layout(
-        xaxis_title=x_title,
-        yaxis_title=y_title,
-        plot_bgcolor="white",
-        yaxis={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
+        color=[PLOT_PRIMARY_COLOR, PLOT_SECONDARY_COLOR],
+        color_discrete_map="identity"
     )
 
-    fig.update_layout(
-        title={
-            "text": f"<b>{heading}</b>",
-            "font": dict(size=16),
-            "y": 0.98,
-            "x": 0.5,
-            "xanchor": "center",
-            "yanchor": "top",
-        },
-        font=dict(size=14, family="Arial"),
-    )
+    fig.update_layout(title={"text": f"<b>{heading}</b>"})
+    fig.update_xaxes(title=x_title)
+    fig.update_yaxes(title=y_title)
     return fig
 
 
@@ -148,14 +118,14 @@ def create_box_plots(
         trace0 = go.Box(
             y=dataframe_a[intensity_name_a],
             x=dataframe_a[group_by],
-            marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
-            name=name_a,
+            marker_color=PLOT_PRIMARY_COLOR,
+            name=name_a
         )
         trace1 = go.Box(
             y=dataframe_b[intensity_name_b],
             x=dataframe_b[group_by],
-            marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
-            name=name_b,
+            marker_color=PLOT_SECONDARY_COLOR,
+            name=name_b
         )
         fig.add_trace(trace0, 1, 1)
         fig.add_trace(trace1, 1, 2)
@@ -165,38 +135,25 @@ def create_box_plots(
         fig = make_subplots(rows=1, cols=2)
         trace0 = go.Box(
             y=dataframe_a[intensity_name_a],
-            marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
-            name=name_a,
+            marker_color=PLOT_PRIMARY_COLOR,
+            name=name_a
         )
         trace1 = go.Box(
             y=dataframe_b[intensity_name_b],
-            marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
-            name=name_b,
+            marker_color=PLOT_SECONDARY_COLOR,
+            name=name_b
         )
         fig.add_trace(trace0, 1, 1)
         fig.add_trace(trace1, 1, 2)
 
-    fig.update_layout(
-        xaxis_title=x_title,
-        yaxis_title=y_title,
-        xaxis2_title=x_title,
-        yaxis2_title=y_title,
-        font=dict(size=14, family="Arial"),
-        plot_bgcolor="white",
-        yaxis1={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
-        yaxis2={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
-        title={
-            "text": f"<b>{heading}</b>",
-            "font": dict(size=16),
-            "y": 0.98,
-            "x": 0.5,
-            "xanchor": "center",
-            "yanchor": "top",
-        },
+    fig.update_layout(title={"text": f"<b>{heading}</b>"})
+    fig.update_xaxes(title=x_title)
+    fig.update_yaxes(
+        title=y_title,
+        rangemode="tozero"
     )
     if visual_transformation == "log10":
         fig.update_yaxes(type="log")
-    fig.update_yaxes(rangemode="tozero")
     return fig
 
 
@@ -264,13 +221,13 @@ def create_histograms(
 
     trace0 = go.Histogram(
         x=intensities_a,
-        marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
+        marker_color=PLOT_PRIMARY_COLOR,
         name=name_a,
         xbins=dict(start=min_value, end=max_value, size=binsize_a),
     )
     trace1 = go.Histogram(
         x=intensities_b,
-        marker_color=PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
+        marker_color=PLOT_SECONDARY_COLOR,
         name=name_b,
         xbins=dict(start=min_value, end=max_value, size=binsize_b),
     )
@@ -278,7 +235,6 @@ def create_histograms(
         fig = make_subplots(rows=1, cols=2)
         fig.add_trace(trace0, 1, 1)
         fig.add_trace(trace1, 1, 2)
-        fig.update_layout(xaxis2_title=x_title, yaxis2_title=y_title)
         if visual_transformation == "log10":
             fig.update_layout(
                 xaxis=generate_tics(0, max_value, True),
@@ -293,30 +249,19 @@ def create_histograms(
         if visual_transformation == "log10":
             fig.update_layout(xaxis=generate_tics(0, max_value, True))
 
-    fig.update_layout(
-        xaxis_title=x_title,
-        yaxis_title=y_title,
-        font=dict(size=14, family="Arial"),
-        plot_bgcolor="white",
-        yaxis1={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
-        yaxis2={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
-        title={
-            "text": f"<b>{heading}</b>",
-            "font": dict(size=16),
-            "y": 0.98,
-            "x": 0.5,
-            "xanchor": "center",
-            "yanchor": "top",
-        },
+    fig.update_layout(title={"text": f"<b>{heading}</b>"})
+    fig.update_xaxes(title=x_title)
+    fig.update_yaxes(
+        title=y_title,
+        rangemode="tozero"
     )
-    fig.update_yaxes(rangemode="tozero")
     return fig
 
 
 def create_anomaly_score_bar_plot(
     anomaly_df: pd.DataFrame,
-    colour_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
-    colour_non_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
+    colour_outlier: str = PLOT_SECONDARY_COLOR,
+    colour_non_outlier: str = PLOT_PRIMARY_COLOR,
 ) -> Figure:
     """
     This function creates a graph visualising the outlier
@@ -325,10 +270,9 @@ def create_anomaly_score_bar_plot(
     :param anomaly_df: pandas Dataframe that contains the anomaly score for each\
     sample, including outliers and on-outliers samples
     :param colour_outlier: hex code for colour depicting the outliers.
-    Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE outlier colour
+    Default: PROTZILLA_SECONDARY_COLOR
     :param colour_non_outlier: hex code for colour depicting the
-    non-outliers. Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE
-    non-outlier colour
+    non-outliers. Default: PROTZILLA_PRIMARY_COLOR
     :return: returns a plotly Figure object
     """
 
@@ -353,26 +297,23 @@ def create_anomaly_score_bar_plot(
         },
     )
     fig.update_coloraxes(showscale=False)
-    fig.update_layout(xaxis={"categoryorder": "category ascending"})
-    fig.update_layout(
-        yaxis={
-            "visible": True,
-            "showticklabels": True,
-            "gridcolor": "lightgrey",
-        },
-        xaxis={"visible": False, "showticklabels": False},
-        font=dict(size=18, family="Arial"),
-        plot_bgcolor="white",
+    fig.update_xaxes(
+        categoryorder="category ascending",
+        visible=False,
+        showticklabels=False
+    )
+    fig.update_yaxes(
+        visible=True,
+        showticklabels=True
     )
-
     return fig
 
 
 def create_pca_2d_scatter_plot(
     pca_df: pd.DataFrame,
     explained_variance_ratio: list,
-    colour_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
-    colour_non_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
+    colour_outlier: str = PLOT_SECONDARY_COLOR,
+    colour_non_outlier: str = PLOT_PRIMARY_COLOR,
 ) -> Figure:
     """
     This function creates a graph visualising the outlier
@@ -384,10 +325,9 @@ def create_pca_2d_scatter_plot(
     :param explained_variance_ratio: a list that contains the\
     explained variation for each component
     :param colour_outlier: hex code for colour depicting the outliers.
-    Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE outlier colour
+    Default: PROTZILLA_SECONDARY_COLOR
     :param colour_non_outlier: hex code for colour depicting the
-    non-outliers. Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE
-    non-outlier colour
+    non-outliers. Default: PROTZILLA_PRIMARY_COLOR
 
     :return: returns a plotly Figure object
     """
@@ -404,25 +344,22 @@ def create_pca_2d_scatter_plot(
     )
     e_variance_0 = round(explained_variance_ratio[0], 4) * 100
     e_variance_1 = round(explained_variance_ratio[1], 4) * 100
-    fig.update_layout(
-        xaxis_title=f"Principal Component 1 ({e_variance_0:.2f} %)",
-        yaxis_title=f"Principal Component 2 ({e_variance_1:.2f} %)",
-        font=dict(size=14, family="Arial"),
-        plot_bgcolor="white",
-        yaxis={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
-        xaxis={"gridcolor": "lightgrey", "zerolinecolor": "lightgrey"},
+    fig.update_xaxes(
+        showticklabels=False,
+        title=f"Principal Component 1 ({e_variance_0:.2f} %)"
+    )
+    fig.update_yaxes(
+        showticklabels=False,
+        title=f"Principal Component 2 ({e_variance_1:.2f} %)"
     )
-    fig.update_xaxes(showticklabels=False)
-    fig.update_yaxes(showticklabels=False)
-
     return fig
 
 
 def create_pca_3d_scatter_plot(
     pca_df: pd.DataFrame,
     explained_variance_ratio: list,
-    colour_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[1],
-    colour_non_outlier: str = PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE[0],
+    colour_outlier: str = PLOT_SECONDARY_COLOR,
+    colour_non_outlier: str = PLOT_PRIMARY_COLOR,
 ) -> Figure:
     """
     This function creates a graph visualising the outlier
@@ -434,10 +371,9 @@ def create_pca_3d_scatter_plot(
     :param explained_variance_ratio: a list that contains the\
     explained variation for each component
     :param colour_outlier: hex code for colour depicting the outliers.
-    Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE outlier colour
+    Default: PROTZILLA_SECONDARY_COLOR
     :param colour_non_outlier: hex code for colour depicting the
-    non-outliers. Default: PROTZILLA_DISCRETE_COLOR_OUTLIER_SEQUENCE
-    non-outlier colour
+    non-outliers. Default: PROTZILLA_PRIMARY_COLOR
 
     :return: returns a plotly Figure object
     """
@@ -458,16 +394,19 @@ def create_pca_3d_scatter_plot(
     z_percent = round(explained_variance_ratio[2], 4) * 100
 
     fig.update_layout(
-        scene=dict(
-            xaxis_title=(f"Principal Component 1 ({x_percent:.2f} %)"),
-            yaxis_title=(f"Principal Component 2 ({y_percent:.2f} %)"),
-            zaxis_title=(f"Principal Component 3 ({z_percent:.2f} %)"),
-            xaxis=dict(showticklabels=False),
-            yaxis=dict(showticklabels=False),
-            zaxis=dict(showticklabels=False),
-        ),
-        font=dict(size=14, family="Arial"),
-        plot_bgcolor="white",
+        scene={
+            "xaxis": {
+                "title": f"Principal Component 1 ({x_percent:.2f} %)",
+                "showticklabels": False
+            },
+            "yaxis": {
+                "title": f"Principal Component 2 ({y_percent:.2f} %)",
+                "showticklabels": False
+            },
+            "zaxis": {
+                "title": f"Principal Component 3 ({z_percent:.2f} %)",
+                "showticklabels": False
+            }
+        }
     )
-
-    return fig
+    return fig
\ No newline at end of file
diff --git a/protzilla/utilities/plot_template.py b/protzilla/utilities/plot_template.py
new file mode 100644
index 00000000..9661a41f
--- /dev/null
+++ b/protzilla/utilities/plot_template.py
@@ -0,0 +1,34 @@
+import plotly.io as pio
+import plotly.graph_objects as go
+
+from protzilla.constants.colors import PLOT_PRIMARY_COLOR, PLOT_SECONDARY_COLOR
+
+
+layout = go.Layout(
+    title={
+        "font": {
+            "size": 16,
+            "family": "Arial"
+        },
+        "y": 0.98,
+        "x": 0.5,
+        "xanchor": "center",
+        "yanchor": "top"
+    },
+    font={
+        "size": 14,
+        "family": "Arial"
+    },
+    colorway=[PLOT_PRIMARY_COLOR, PLOT_SECONDARY_COLOR],
+    plot_bgcolor="white",
+    yaxis={
+        "gridcolor": "lightgrey",
+        "zerolinecolor": "lightgrey"
+    },
+    modebar={
+        "remove": ["autoScale2d", "lasso", "lasso2d", "toImage", "select2d"],
+    },
+    dragmode="pan"
+)
+pio.templates["plotly_protzilla"] = go.layout.Template(layout=layout)
+pio.templates.default = "plotly_protzilla"
\ No newline at end of file
diff --git a/ui/runs/forms/data_analysis.py b/ui/runs/forms/data_analysis.py
index 6e34aa6e..317fd473 100644
--- a/ui/runs/forms/data_analysis.py
+++ b/ui/runs/forms/data_analysis.py
@@ -520,7 +520,7 @@ class PlotClustergramForm(MethodForm):
         label="Choose dataframe to be used for coloring",
         required=False,
     )
-    flip_axis = CustomChoiceField(
+    flip_axes = CustomChoiceField(
         choices=YesNo,
         label="Flip axis",
         initial=YesNo.no,
diff --git a/ui/runs/forms/data_integration.py b/ui/runs/forms/data_integration.py
index 1ed60152..29b0f46f 100644
--- a/ui/runs/forms/data_integration.py
+++ b/ui/runs/forms/data_integration.py
@@ -4,7 +4,7 @@
 import matplotlib.colors as mcolors
 import restring
 
-from protzilla.constants.colors import PROTZILLA_DISCRETE_COLOR_SEQUENCE
+from protzilla.constants.colors import PLOT_COLOR_SEQUENCE
 from protzilla.data_integration.database_query import (
     biomart_database,
     uniprot_databases,
@@ -95,7 +95,7 @@ class GSEADotPlotXAxisValue(Enum):
 
 
 class PlotColors(Enum):
-    PROTzilla_default = PROTZILLA_DISCRETE_COLOR_SEQUENCE
+    PROTzilla_default = PLOT_COLOR_SEQUENCE
 
 
 class EmptyEnum(Enum):
diff --git a/ui/runs/views.py b/ui/runs/views.py
index 020063eb..56d0d264 100644
--- a/ui/runs/views.py
+++ b/ui/runs/views.py
@@ -1,4 +1,3 @@
-import os
 import io
 import tempfile
 import traceback
@@ -32,6 +31,7 @@
     name_to_title,
 )
 from protzilla.workflow import get_available_workflow_names
+from protzilla.constants.paths import WORKFLOWS_PATH
 from ui.runs.fields import (
     make_displayed_history,
     make_method_dropdown,
@@ -423,7 +423,7 @@ def export_workflow(request: HttpRequest, run_name: str):
     display_message(
         {
             "level": 20,
-            "msg": f"Workflow '{requested_workflow_name}' was exported successfully.<br>You can view it here: {os.path.join(settings.BASE_DIR, 'user_data', 'workflows')}",
+            "msg": f"Workflow '{requested_workflow_name}' was exported successfully.<br>You can view the file at {WORKFLOWS_PATH}.",
         },
         request,
     )