--- a/report_clonality/circos/parse-table.conf	Thu Aug 08 07:40:36 2019 -0400
+++ b/report_clonality/circos/parse-table.conf	Thu Feb 25 13:36:15 2021 +0000
@@ -1,391 +1,391 @@
-
-################################################################
-#
-# This is a fairly complicated configuration file. Take your time in
-# experimenting and adjust one thing at a time :)
-#
-################################################################
-
-max_col_num = 200
-max_row_num = 200
-
-# skip this many rows before reading in header and data
-skip_rows        = 0
-
-# is there a header line that identifies the columns?
-header           = yes
-
-# is there a row that specifies the order of columns in the image?
-# - if so, this must be the first line of the header
-# - if the line exists (col_order_row=yes), employ the use_col_order_row to toggle whether it is used
-col_order_row     = no
-use_col_order_row = no
-
-# is there a row that specifies the size of columns in the image?
-# - if so, this must be the next line of the header
-# - if the line exists (col_size_row=yes), employ the use_col_size_row to toggle whether it is used
-col_size_row     = no
-use_col_size_row = no
-
-# is there a row that specifies the color of each column segment in the image?
-# - if so, this must be the next line of the header
-# - if the line exists (col_color_row=yes), employ the use_col_color_row to toggle whether it is used
-col_color_row     = no
-use_col_color_row = no
-
-# is there a column that specifies the order of rows in the image?
-# - if so, this must be the first column
-# - if the line exists (row_order_col=yes), employ the use_row_order_col to toggle whether it is used
-row_order_col     = no
-use_row_order_col = no
-
-# is there a column that specifies the color of each row segment in the image?
-# - if so, this must be the second column
-# - if the line exists (row_color_col=yes), employ the use_row_color_col to toggle whether it is used
-row_color_col     = no
-use_row_color_col = no
-
-# if you do not have a column/row that explicitly defines order
-# of segments in the image, you can set this here. Use one (or more) of 
-# these values to specify how segments should be ordered.
-# - row_major (row segments first, then column)
-# - col_major (col segments first, then row)
-# - ascii     (asciibetic order)
-# - row_size  (total of rows for the segment - useful if the segment has both row and column contributions)
-# - col_size  (total of colums for the segment - useful if the segment has both row and column contributions)
-# - row_to_col_ratio (ratio of total of rows to columns for the segment)
-# - col_to_row_ratio (ratio of total of rows to columns for the segment)
-# - size_asc  (size, in ascending order)
-# - size_desc (size, in descending order)
-
-#segment_order = row_to_col_ratio,size_desc # col_major,size_desc
-#segment_order = size_desc
-segment_order = row_major,size_desc
-#segment_order = ascii
-#segment_order = file:etc/order-by-table-remapped.txt
-#segment_order  = size_desc,row_to_col_ratio
-segment_color_order = row_major,size_desc
-
-# values for segments can be normalized if the use_segment_normalization is set to yes
-use_segment_normalization = no
-
-# the normalization function can be one of the following, and is applied to
-# all values that correspond to the segment's label
-# total - sum of cell values for the segment label (row and col)
-# average - average of cell values for the segment label (row and col)
-# row_total, row_average - sum or average for cell values for the segment row
-# col_total, col_average - sum or average for cell values for the segment col
-# row_size, col_size, total_size - based on the optional size column (see col_size_row and row_size_col above)
-# VALUE - segments are scaled to a constant VALUE (e.g. 1000)
-segment_normalization_function = 1000
-
-# normalization can be performed by either altering the actual data values or
-# by applying a visual scaling of the segments. When 'value' is used, the data
-# is changed. When 'visual' is used, then a chromosomes_scale line is reported
-# by this script which you must include in circos.conf for the scaling to be applied
-segment_normalization_scheme   = value
-
-################################################################
-# placement of cell ribbons on row/column segments
-# 
-# for segments that share both column and row ribbons, the
-# order of ribbon position can be adjusted with placement_order
-
-placement_order = row,col # col,row or row,col
-
-# within the row/column ribbon bundle for each segment, 
-# ribbon_bundle_order determines how the ribbons will be
-# ordered
-# - size   - by value of the cell
-# - ascii  - sorted by destination label
-# - native - sorted by order of destination segment
-
-ribbon_bundle_order = native # size, ascii, native
-
-# reverse the position of links in table/row segments?
-
-reverse_rows    = no
-reverse_columns = no
-
-# values for cells with the same row/column name can be treated
-# independently. You can
-# show - show these cells and not filter them at all
-# hide - hide these cells from the image, but not resize the row/columns
-# remove - entirely remove these cells from the data set (equivalent to setting cells to missing value)
-intra_cell_handling = show
-
-# ribbon layering - order in which the ribbons are drawn on the image
-# size_asc  - ascending by ribbon size (small ribbons drawn first, therefore large ribbons will be at front)
-# size_desc - descending by ribbon size (large ribbons drawn first, therefore small ribbons will be at front)
-
-ribbon_layer_order = size_asc
-
-# if both (A,B)=x and (B,A)=y cells exist, you can choose to have the ribbon
-# ends sized variably so that ribbon at A has width x and at B has width y
-
-ribbon_variable = no
-ribbon_variable_intra_collapse = yes
-
-################################################################
-# cell value mapping allows you to remap the cell values using
-# any Perl expression that uses X as the cell value. For example,
-#
-# cell_remap_formula = log(X)
-#                    = sqrt(X)
-#                    = X/10
-#                    = X ? log(X) : 0
-#
-# This remapping takes place before any filters or scaling is applied. Its effect
-# is the same as remapping the cell values in the input file.
-
-use_cell_remap     = no
-cell_remap_formula = round(10*X)
-
-################################################################
-# scale your values with a power rule (useful if the range of values
-# is very large) to
-# - atten_large: attenuate large values and maintain visibility
-#   of ribbons corresponding to small values, or
-# - atten_small: attenuate small values to increase visibility
-#   of ribbons corresponding to large values
-#
-# given a value, v, and a maximum, m
-#
-# atten_small:
-#
-# v_new = m * ( exp(scale_factor * v / m) - 1 ) / ( exp(scale_factor) - 1 )
-#
-# atten_large:
-#
-# v_new = m * ( log(scale_factor * v ) ) / ( log(scale_factor * m ) )
-# 
-# essentially the values are remapped to a log-type scale 
-# with the range 0..m
-
-use_scaling    = no
-scaling_type   = atten_large
-scale_factor   = 1
-
-blank_means_missing = no
-missing_cell_value = -
-
-################################################################
-# Value cutoffs for cell values and ribbon formatting.
-#
-# You can toggle the visibility of ribbons for cells outside
-# a min/max range. You can define one or more of these cutoffs.
-# The cutoffs are applied to unscaled cell values.
-
-#cell_min_value      = 10
-#cell_min_percentile = 10
-#cell_max_value      = 100
-#cell_max_percentile = 100
-
-# For cell values that do not pass the min/max filters above,
-# you can specify whether they are hidden or removed. If the
-# parameter is not defined, "hide" will be assumed.
-# hide - cell values won't be shown, but row/col will not be resized
-# remove - entirely remove these cells from the data set (equivalent to setting cells to missing value)
-
-cutoff_cell_handling = hide
-
-# The color of ribbons is by default the color of the row segment from
-# which they originate. The block below allows you to remap the color
-# of the ribbons based on cell percentile values. There are two ways
-# to remap colors
-# 
-# - color_remap=yes, color_autoremap=no
-#   Uses <percentile> blocks to define the percentile values and associated
-#   color/stroke_color characteristics for ribbons. Percentile value defined
-#   in the block (e.g. <percentile 55>) is the max percentile value for
-#   cells associated with this block.
-# - color_remap=yes, color_autoremap=yes
-#   Uses colors associated with each percentile window of size
-#   percentile_sampling for each cell
-
-<linkcolor>
-color_source       = row
-percentile_source  = larger
-color_transparency = 1
-color_remap        = yes
-color_autoremap    = no
-
-<percentile 50>
-color = dgrey
-transparency = 5
-</percentile>
-
-<percentile 60>
-color = dgrey
-transparency = 5
-</percentile>
-
-<percentile 70>
-transparency = 1
-</percentile>
-
-<percentile 80>
-transparency = 1
-</percentile>
-
-<percentile 90>
-transparency = 1
-stroke_color = black
-stroke_thickness = 1p
-</percentile>
-
-<percentile 100>
-transparency = 1
-stroke_color = black
-stroke_thickness = 3p
-</percentile>
-
-</linkcolor>
-
-<linkparam>
-color = vdgrey
-#stroke_color = black
-#stroke_thickness = 1p
-</linkparam>
-
-# If you are using color_autoremap=yes above, then
-# define the percentile sampling window and 
-# the start/end HSV color values. Percentile window
-# colors are interpolated between this HSV pair.
-#
-# HSV = (hue saturation value) 
-# hue=(0..360) saturation=(0..1) value=(0..1) 
-
-percentile_sampling = 5
-
-# count - percentile based on counts
-# value - percentile based on value
-
-percentile_method = count
-
-# use all values or only unique values when
-# calculating percentiles
-percentile_unique_only = yes
-
-# use a function, f(X), to remap cell values when calculating percentiles
-# for the purpose of color mapping. This allows you to apply a remapping to how
-# colors are calculated, without actually changing the values. The remap
-# applies only if percentile_method=value
-
-# percentile_remap = sqrt(X)
-
-# Which cell value set to use for percentile color mapping
-# raw - original values
-# filtered - values that pass min/max filters
-# scaled - filtered values that have been scaled if use_scaling is set
-percentile_data_domain = raw
-
-<colors>
-h0 = 0
-s0 = 1
-v0 = 1
-h1 = 300
-s1 = 1
-v1 = 1
-</colors>
-
-# You can control the color and stroke of ribbons for each
-# quartile (q1, q2, q3, q4). Any values defined here will
-# overwrite colors determined by remapping. 
-#
-# For example, if you have a lot of cells and wish to attenuate
-# the visibility of ribbons associated with small values, you can
-# set cell_q1_color=vvlgrey,cell_q1_nostroke=yes to fade the
-# ribbons into the background.
-
-#cell_q1_color    = vvlgrey
-#cell_q2_color    = vlgrey
-#cell_q3_color    = lgrey
-#cell_q4_color    = red
-#cell_q1_nostroke = yes
-#cell_q2_nostroke = yes
-#cell_q3_nostroke = yes
-#cell_q4_nostroke = yes
-
-# cell value multiplier, required when all data is small (e.g. <1), in which
-# case set the multiplier to something like 1000 because Circos
-# works only with integer scales
-
-data_mult = 1
-
-################################################################
-# Segment labels can be optionally set to a size that is
-# proportional to the size of the segment. Set min/max size
-# values here. If this line is commented out, then the label
-# size is determined by the circos.conf file used to draw the image
-
-#segment_label_size_range       = 60,60
-
-# progression controls how fast the label size changes from
-# min to max (larger value of progression means values close to max
-# are achieved for smaller segments)
-
-segment_label_size_progression = 4
-
-segment_label_uppercase = no
-
-################################################################
-# Segment colors can be specified in the data file (in this
-# case use row_color_col and col_color_row), otherwise colors
-# are interpolated within an HSV range. Color interpolation can be
-# done in two ways: based on segment index (interpolation steps through
-# colors uniformly for each segment) and total size (interpolation
-# steps through colors in proportion to segment size).
-
-<segment_colors>
-interpolate_type = size # size or count
-h0 = 0
-s0 = 0.8
-v0 = 0.9
-h1 = 300
-s1 = 0.8
-v1 = 0.9
-</segment_colors>
-
-################################################################
-# Shorten the labels of segments. Specify whether to do this
-# with shorten_text=yes|no parameter and provide regular
-# expressions in string_replace which define the text to
-# replace. 
-
-shorten_text = yes
-
-<string_replace>
-IGH = 
-</string_replace>
-
-# exit on any error
-strict_sanity = yes
-
-################################################################
-# if the segment_prefix is set, then rows and columns will be
-# renamed to internal fields segment_prefix + DIGIT
-
-#segment_prefix  = id
-color_prefix = color
-
-################################################################
-# Delimiters
-
-# field delimiter regular expression
-# if this is not defined, any whitespace will be considered a delimiter
-field_delim = \s
-
-# collapse adjacent delimiters?
-field_delim_collapse = yes
-
-# remove any leading space in the input file
-# by default, this is on - if you set this to "no", make sure that you don't have any leading spaces in your table!
-strip_leading_space = yes
-
-# remove quotes and thousand separators - concatenate characters to remove
-#
-# e.g. to remove characters a b c set remove_cell_rx=abc
-# e.g. to remove characters " ' , set remove_cell_rx="',
-remove_cell_rx = "',
-
+
+################################################################
+#
+# This is a fairly complicated configuration file. Take your time in
+# experimenting and adjust one thing at a time :)
+#
+################################################################
+
+max_col_num = 200
+max_row_num = 200
+
+# skip this many rows before reading in header and data
+skip_rows        = 0
+
+# is there a header line that identifies the columns?
+header           = yes
+
+# is there a row that specifies the order of columns in the image?
+# - if so, this must be the first line of the header
+# - if the line exists (col_order_row=yes), employ the use_col_order_row to toggle whether it is used
+col_order_row     = no
+use_col_order_row = no
+
+# is there a row that specifies the size of columns in the image?
+# - if so, this must be the next line of the header
+# - if the line exists (col_size_row=yes), employ the use_col_size_row to toggle whether it is used
+col_size_row     = no
+use_col_size_row = no
+
+# is there a row that specifies the color of each column segment in the image?
+# - if so, this must be the next line of the header
+# - if the line exists (col_color_row=yes), employ the use_col_color_row to toggle whether it is used
+col_color_row     = no
+use_col_color_row = no
+
+# is there a column that specifies the order of rows in the image?
+# - if so, this must be the first column
+# - if the line exists (row_order_col=yes), employ the use_row_order_col to toggle whether it is used
+row_order_col     = no
+use_row_order_col = no
+
+# is there a column that specifies the color of each row segment in the image?
+# - if so, this must be the second column
+# - if the line exists (row_color_col=yes), employ the use_row_color_col to toggle whether it is used
+row_color_col     = no
+use_row_color_col = no
+
+# if you do not have a column/row that explicitly defines order
+# of segments in the image, you can set this here. Use one (or more) of 
+# these values to specify how segments should be ordered.
+# - row_major (row segments first, then column)
+# - col_major (col segments first, then row)
+# - ascii     (asciibetic order)
+# - row_size  (total of rows for the segment - useful if the segment has both row and column contributions)
+# - col_size  (total of colums for the segment - useful if the segment has both row and column contributions)
+# - row_to_col_ratio (ratio of total of rows to columns for the segment)
+# - col_to_row_ratio (ratio of total of rows to columns for the segment)
+# - size_asc  (size, in ascending order)
+# - size_desc (size, in descending order)
+
+#segment_order = row_to_col_ratio,size_desc # col_major,size_desc
+#segment_order = size_desc
+segment_order = row_major,size_desc
+#segment_order = ascii
+#segment_order = file:etc/order-by-table-remapped.txt
+#segment_order  = size_desc,row_to_col_ratio
+segment_color_order = row_major,size_desc
+
+# values for segments can be normalized if the use_segment_normalization is set to yes
+use_segment_normalization = no
+
+# the normalization function can be one of the following, and is applied to
+# all values that correspond to the segment's label
+# total - sum of cell values for the segment label (row and col)
+# average - average of cell values for the segment label (row and col)
+# row_total, row_average - sum or average for cell values for the segment row
+# col_total, col_average - sum or average for cell values for the segment col
+# row_size, col_size, total_size - based on the optional size column (see col_size_row and row_size_col above)
+# VALUE - segments are scaled to a constant VALUE (e.g. 1000)
+segment_normalization_function = 1000
+
+# normalization can be performed by either altering the actual data values or
+# by applying a visual scaling of the segments. When 'value' is used, the data
+# is changed. When 'visual' is used, then a chromosomes_scale line is reported
+# by this script which you must include in circos.conf for the scaling to be applied
+segment_normalization_scheme   = value
+
+################################################################
+# placement of cell ribbons on row/column segments
+# 
+# for segments that share both column and row ribbons, the
+# order of ribbon position can be adjusted with placement_order
+
+placement_order = row,col # col,row or row,col
+
+# within the row/column ribbon bundle for each segment, 
+# ribbon_bundle_order determines how the ribbons will be
+# ordered
+# - size   - by value of the cell
+# - ascii  - sorted by destination label
+# - native - sorted by order of destination segment
+
+ribbon_bundle_order = native # size, ascii, native
+
+# reverse the position of links in table/row segments?
+
+reverse_rows    = no
+reverse_columns = no
+
+# values for cells with the same row/column name can be treated
+# independently. You can
+# show - show these cells and not filter them at all
+# hide - hide these cells from the image, but not resize the row/columns
+# remove - entirely remove these cells from the data set (equivalent to setting cells to missing value)
+intra_cell_handling = show
+
+# ribbon layering - order in which the ribbons are drawn on the image
+# size_asc  - ascending by ribbon size (small ribbons drawn first, therefore large ribbons will be at front)
+# size_desc - descending by ribbon size (large ribbons drawn first, therefore small ribbons will be at front)
+
+ribbon_layer_order = size_asc
+
+# if both (A,B)=x and (B,A)=y cells exist, you can choose to have the ribbon
+# ends sized variably so that ribbon at A has width x and at B has width y
+
+ribbon_variable = no
+ribbon_variable_intra_collapse = yes
+
+################################################################
+# cell value mapping allows you to remap the cell values using
+# any Perl expression that uses X as the cell value. For example,
+#
+# cell_remap_formula = log(X)
+#                    = sqrt(X)
+#                    = X/10
+#                    = X ? log(X) : 0
+#
+# This remapping takes place before any filters or scaling is applied. Its effect
+# is the same as remapping the cell values in the input file.
+
+use_cell_remap     = no
+cell_remap_formula = round(10*X)
+
+################################################################
+# scale your values with a power rule (useful if the range of values
+# is very large) to
+# - atten_large: attenuate large values and maintain visibility
+#   of ribbons corresponding to small values, or
+# - atten_small: attenuate small values to increase visibility
+#   of ribbons corresponding to large values
+#
+# given a value, v, and a maximum, m
+#
+# atten_small:
+#
+# v_new = m * ( exp(scale_factor * v / m) - 1 ) / ( exp(scale_factor) - 1 )
+#
+# atten_large:
+#
+# v_new = m * ( log(scale_factor * v ) ) / ( log(scale_factor * m ) )
+# 
+# essentially the values are remapped to a log-type scale 
+# with the range 0..m
+
+use_scaling    = no
+scaling_type   = atten_large
+scale_factor   = 1
+
+blank_means_missing = no
+missing_cell_value = -
+
+################################################################
+# Value cutoffs for cell values and ribbon formatting.
+#
+# You can toggle the visibility of ribbons for cells outside
+# a min/max range. You can define one or more of these cutoffs.
+# The cutoffs are applied to unscaled cell values.
+
+#cell_min_value      = 10
+#cell_min_percentile = 10
+#cell_max_value      = 100
+#cell_max_percentile = 100
+
+# For cell values that do not pass the min/max filters above,
+# you can specify whether they are hidden or removed. If the
+# parameter is not defined, "hide" will be assumed.
+# hide - cell values won't be shown, but row/col will not be resized
+# remove - entirely remove these cells from the data set (equivalent to setting cells to missing value)
+
+cutoff_cell_handling = hide
+
+# The color of ribbons is by default the color of the row segment from
+# which they originate. The block below allows you to remap the color
+# of the ribbons based on cell percentile values. There are two ways
+# to remap colors
+# 
+# - color_remap=yes, color_autoremap=no
+#   Uses <percentile> blocks to define the percentile values and associated
+#   color/stroke_color characteristics for ribbons. Percentile value defined
+#   in the block (e.g. <percentile 55>) is the max percentile value for
+#   cells associated with this block.
+# - color_remap=yes, color_autoremap=yes
+#   Uses colors associated with each percentile window of size
+#   percentile_sampling for each cell
+
+<linkcolor>
+color_source       = row
+percentile_source  = larger
+color_transparency = 1
+color_remap        = yes
+color_autoremap    = no
+
+<percentile 50>
+color = dgrey
+transparency = 5
+</percentile>
+
+<percentile 60>
+color = dgrey
+transparency = 5
+</percentile>
+
+<percentile 70>
+transparency = 1
+</percentile>
+
+<percentile 80>
+transparency = 1
+</percentile>
+
+<percentile 90>
+transparency = 1
+stroke_color = black
+stroke_thickness = 1p
+</percentile>
+
+<percentile 100>
+transparency = 1
+stroke_color = black
+stroke_thickness = 3p
+</percentile>
+
+</linkcolor>
+
+<linkparam>
+color = vdgrey
+#stroke_color = black
+#stroke_thickness = 1p
+</linkparam>
+
+# If you are using color_autoremap=yes above, then
+# define the percentile sampling window and 
+# the start/end HSV color values. Percentile window
+# colors are interpolated between this HSV pair.
+#
+# HSV = (hue saturation value) 
+# hue=(0..360) saturation=(0..1) value=(0..1) 
+
+percentile_sampling = 5
+
+# count - percentile based on counts
+# value - percentile based on value
+
+percentile_method = count
+
+# use all values or only unique values when
+# calculating percentiles
+percentile_unique_only = yes
+
+# use a function, f(X), to remap cell values when calculating percentiles
+# for the purpose of color mapping. This allows you to apply a remapping to how
+# colors are calculated, without actually changing the values. The remap
+# applies only if percentile_method=value
+
+# percentile_remap = sqrt(X)
+
+# Which cell value set to use for percentile color mapping
+# raw - original values
+# filtered - values that pass min/max filters
+# scaled - filtered values that have been scaled if use_scaling is set
+percentile_data_domain = raw
+
+<colors>
+h0 = 0
+s0 = 1
+v0 = 1
+h1 = 300
+s1 = 1
+v1 = 1
+</colors>
+
+# You can control the color and stroke of ribbons for each
+# quartile (q1, q2, q3, q4). Any values defined here will
+# overwrite colors determined by remapping. 
+#
+# For example, if you have a lot of cells and wish to attenuate
+# the visibility of ribbons associated with small values, you can
+# set cell_q1_color=vvlgrey,cell_q1_nostroke=yes to fade the
+# ribbons into the background.
+
+#cell_q1_color    = vvlgrey
+#cell_q2_color    = vlgrey
+#cell_q3_color    = lgrey
+#cell_q4_color    = red
+#cell_q1_nostroke = yes
+#cell_q2_nostroke = yes
+#cell_q3_nostroke = yes
+#cell_q4_nostroke = yes
+
+# cell value multiplier, required when all data is small (e.g. <1), in which
+# case set the multiplier to something like 1000 because Circos
+# works only with integer scales
+
+data_mult = 1
+
+################################################################
+# Segment labels can be optionally set to a size that is
+# proportional to the size of the segment. Set min/max size
+# values here. If this line is commented out, then the label
+# size is determined by the circos.conf file used to draw the image
+
+#segment_label_size_range       = 60,60
+
+# progression controls how fast the label size changes from
+# min to max (larger value of progression means values close to max
+# are achieved for smaller segments)
+
+segment_label_size_progression = 4
+
+segment_label_uppercase = no
+
+################################################################
+# Segment colors can be specified in the data file (in this
+# case use row_color_col and col_color_row), otherwise colors
+# are interpolated within an HSV range. Color interpolation can be
+# done in two ways: based on segment index (interpolation steps through
+# colors uniformly for each segment) and total size (interpolation
+# steps through colors in proportion to segment size).
+
+<segment_colors>
+interpolate_type = size # size or count
+h0 = 0
+s0 = 0.8
+v0 = 0.9
+h1 = 300
+s1 = 0.8
+v1 = 0.9
+</segment_colors>
+
+################################################################
+# Shorten the labels of segments. Specify whether to do this
+# with shorten_text=yes|no parameter and provide regular
+# expressions in string_replace which define the text to
+# replace. 
+
+shorten_text = yes
+
+<string_replace>
+IGH = 
+</string_replace>
+
+# exit on any error
+strict_sanity = yes
+
+################################################################
+# if the segment_prefix is set, then rows and columns will be
+# renamed to internal fields segment_prefix + DIGIT
+
+#segment_prefix  = id
+color_prefix = color
+
+################################################################
+# Delimiters
+
+# field delimiter regular expression
+# if this is not defined, any whitespace will be considered a delimiter
+field_delim = \s
+
+# collapse adjacent delimiters?
+field_delim_collapse = yes
+
+# remove any leading space in the input file
+# by default, this is on - if you set this to "no", make sure that you don't have any leading spaces in your table!
+strip_leading_space = yes
+
+# remove quotes and thousand separators - concatenate characters to remove
+#
+# e.g. to remove characters a b c set remove_cell_rx=abc
+# e.g. to remove characters " ' , set remove_cell_rx="',
+remove_cell_rx = "',
+