Library
This module provides managing classes and methods for the tool.
Feature
A Feature object represents a locus' feature (currently only CDS) and its properties.
Attributes:
-
feature_id
(str
) –Feature identifier.
-
feature_type
(str
) –Type of element (e.g. CDS or tRNA). Currently only CDS are supported.
-
start
(int
) –1-based start genomic coordinate.
-
end
(int
) –1-based end genomic coordinates
-
strand
(int
) –Genomic strand (1: plus strand, -1: minus strand).
-
name
(str
) –Name of the feature which will be used as a label.
-
sequence
(Seq
) –Feature's sequence.
-
record
(SeqRecord
) –SeqRecord object of corresponding feature sequence.
-
group
(str
) –Feature group that defines feature's colour and meant to represent a set of homologous features. Can be set with Loci.mmseqs_cluster() method that uses mmseqs clustering to define CDS feature groups.
-
group_type
(str
) –Type of feature group that allow to visualise different set of feature groups differently (e.g. plot labels only for features which group_type is "variable" or "labeled").
-
category
(str
) –Feature category which initially is built to handle phrogs category annotation. In visualisation it defines the "category" colour annotation under features. Supposed to represent clusters on locus or any second layer of feature properties.
-
vis_prms
(dict
) –Visualisation parameters that holds colours, label and other info for Drawing methods.
-
overlapping
(bool
) –Whether feature overlaps with visualised region or not.
-
prms
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/DataProcessing.py
__init__(feature_id, feature_type, start, end, strand, name, sequence, group, group_type, category, vis_prms, overlapping, parameters)
Create a Feature object.
Parameters:
-
feature_id
(str
) –Feature identifier.
-
feature_type
(str
) –Type of element (e.g. CDS or tRNA). Currently only CDS are supported.
-
start
(int
) –1-based start genomic coordinate.
-
end
(int
) –1-based end genomic coordinates
-
strand
(int
) –Genomic strand (1: plus strand, -1: minus strand).
-
name
(str
) –Name of the feature which will be used as a label.
-
sequence
(Seq
) –Feature's sequence.
-
group
(str
) –Feature group that defines feature's colour and meant to represent a set of homologous features. Can be set with Loci.mmseqs_cluster() method that uses mmseqs clustering to define CDS feature groups.
-
group_type
(str
) –Type of feature group that allow to visualise different set of feature groups differently (e.g. plot labels only for features which group_type is "variable" or "labeled").
-
category
(str
) –Feature category which initially is built to handle phrogs category annotation. In visualisation it defines the "category" colour annotation under features. Supposed to represent clusters on locus or any second layer of feature properties.
-
vis_prms
(dict
) –Visualisation parameters that holds colours, label and other info for Drawing methods.
-
prms
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/DataProcessing.py
Loci
A Loci object holds information about all loci to be plotted and methods for data preparation.
Attributes:
-
loci
(list
) –List of Locus objects.
-
locus_annotation
(DataFrame
) –Table with information about each locus that defines visualisation (e.g. coordinates for visualisation, description, etc).
-
feature_annotation
(DataFrame
) –Table with information about each feature that defines visualisation (e.g. group, name, category, etc).
-
prms
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/DataProcessing.py
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__init__(parameters=lovis4u.Manager.Parameters)
Create a Loci object.
Parameters:
-
parameters
(Parameters
, default:Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/DataProcessing.py
__load_annotation_file(file_path, annotation_columns, index_column)
Private method to load an annotation file.
Parameters:
-
file_path
(str
) –File path for an annotation file to be loaded.
-
annotation_columns
(list
) –List of columns that should be considered.
-
index_column
(str
) –Column name to be considered as index.
Returns:
-
DataFrame
–pd.DataFrame: Preprocessed annotation file.
Source code in lovis4u/DataProcessing.py
__update_feature_annotation(feature_id, locus_id, coordinates, feature_type, category, name)
Private method for updating feature annotation.
Parameters:
-
feature_id
(str
) –Feature identifier.
-
locus_id
(str
) –Sequence description.
-
coordinates
(str
) –Feature coordinates.
-
category
(str
) –Feature type.
-
name
(str
) –Feature name.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
__update_locus_annotation(record_id, record_description, record_length)
Private method for updating loci annotation.
Parameters:
-
record_id
(str
) –Sequence identifier.
-
record_description
(str
) –Sequence description.
-
record_length
(int
) –Sequence length.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
cluster_sequences(dataframe, one_cluster)
Define loci order and clusters with proteome similarity based hierarchical clustering. This function changes the order of loci that are plotted and also updates corresponding to each loci group attribute which defines homologues groups of proteomes.
It's designed to use as input mmseqs_cluster() function results. However, if you have obtained homologues groups by other method you can also build pandas dataframe based on that with index corresponding to feature id and column "cluster" corresponding to the group.
Parameters:
-
dataframe
(DataFrame
) –dataframe with feature id - group pairs. Its index column should represent all loci CDS features. one_cluster (bool): consider all sequences to be members of one cluster, but still define the optimal order.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
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define_feature_groups(dataframe, group_column_name='cluster')
Set features attribute "group" based on input dataframe.
By default is designed to use mmseqs_cluster() function results as input. If you already have precomputed feature groups you can set them with feature table.
Parameters:
-
dataframe
(DataFrame
) –dataframe with feature id - group pairs. Its index column should represent all loci CDS features.
-
group_column_name
(str
, default:'cluster'
) –column name of the dataframe that represent corresponding group to each feature.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
define_labels_to_be_shown()
Set feature visaulisation attribute "show_label" based on feature groups.
controlled by feature_labels_to_ignore, feature_group_types_to_show_label, and feature_group_types_to_show_label_on_first_occurrence parameters.
Returns:
-
–
None
Source code in lovis4u/DataProcessing.py
find_variable_feature_groups(mmseqs_results)
Define feature group type attributes (variable or conserved) based on their conservation in corresponding loci group feature.
It's designed to use as input mmseqs_cluster() function results. However, if you have obtained homologues groups by other method you can also build pandas dataframe based on that with index corresponding to feature id and column "cluster" corresponding to the group.
Parameters:
-
mmseqs_results
(DataFrame
) –dataframe with feature id - group pairs. Its index column should represent all loci CDS features.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
get_loci_lengths_and_n_of_regions()
Get loci lengths and number of regions.
Returns:
-
list
(list[list[int]]
) –list each element of each contains locus size and number of breaks for visualisation track.
Source code in lovis4u/DataProcessing.py
load_feature_annotation_file(file_path)
Load features annotation file.
Parameters:
-
file_path
(str
) –File path for a features annotation file to be loaded.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
load_loci_from_extended_gff(input_f, ilund4u_mode=False)
Load loci from the folder with gff files. Each GFF file also should contain corresponding nucleotide sequence. Such files are produced for example by pharokka annotation tool.
All files with extension other than .gff (not case-sensitive) will be ignored.
Parameters:
-
input_folder
–folder name with gff files.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
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load_loci_from_gb(input_folder)
Load loci from the folder with genbank files.
All files with extension other than .gb (not case-sensitive) will be ignored.
Parameters:
-
input_folder
(str
) –folder name with gb files.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
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load_locus_annotation_file(file_path)
Load loci annotation file.
Parameters:
-
file_path
(str
) –File path for a loci annotation file to be loaded.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
mmseqs_cluster()
Cluster all proteins using mmseqs in order to define groups of homologues.
Returns:
-
DataFrame
–pd.DataFrame: parsed mmseqs table (pandas dataframe) with columns: cluster, protein_id; where cluster is defined by representative sequence id within a corresponding cluster.
Source code in lovis4u/DataProcessing.py
remove_non_overlapping_features()
Removes features that are not overlapping with visualisation window.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
reorient_loci(ilund4u_mode=False)
Auto re-orient loci (reset strands) of loci if they are not matched.
Function tries to maximise co-orientation of homologous features.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
save_feature_annotation_table()
Save feature annotation table to the output folder.
Output file name is feature_annotation_table.tsv
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
save_locus_annotation_table()
Save loci annotation table to the output folder.
Output file name is locus_annotation_table.tsv
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
set_category_colours(use_table=True)
Define colours for each category.
Parameters:
-
use_table
(bool
, default:True
) –Bool value whether table with predefined colours should be used or not.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
set_feature_colours_based_on_groups()
Define features fill colour based on corresponding feature group and group types.
Returns:
-
None
–None
Source code in lovis4u/DataProcessing.py
Locus
A Locus object represents a particular locus that will be one of the sequence tracks on final figure.
Attributes:
-
seq_id
(str
) –Sequence identifier. Can be used to label locus.
-
coordinates
(list
) –List of regions to be shown. Each region format: dict with keys: start, end, strand and corresponding 1-based start, end coordinates and strand (1: plus strand, -1: minus strand).
-
size
(int
) –total length of regions to be plotted.
-
description
(str
) –Sequence description that can be used to label locus.
-
length
(int
) –full length of the locus independent on region that should be plotted.
-
circular
(bool
) –Bool value whether locus is circular or not. It defines whether you have gap or not passing 1 value on the final figure.
-
features
(list
) –list of Feature objects that overlapped with coordinates.
-
order
(int
) –index on ordered list of loci visualisation. Can be pre-defined or found based on loci hierarchical clustering with cluster_sequences category.
-
group
(int | str
) –locus group that defines set of closely-related loci.
-
category_colours
(dict
) –colours for locus' features categories.
-
prms
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/DataProcessing.py
__init__(seq_id, coordinates, description, length, circular, features, order, parameters, group=1)
Create a Locus object.
Parameters:
-
seq_id
(str
) –Sequence identifier. Can be used to label locus.
-
coordinates
(list
) –List of regions to be shown. Each region format: dict with keys: start, end, strand and corresponding 1-based start, end coordinates and strand (1: plus strand, -1: minus strand).
-
description
(str
) –Sequence description that can be used to label locus.
-
length
(int
) –full length of the locus independent on region that should be plotted.
-
circular
(bool
) –Bool value whether locus is circular or not. It defines whether you have gap or not passing 1 value on the final figure.
-
features
(list
) –list of Feature objects that overlapped with coordinates.
-
order
(int
) –index on ordered list of loci visualisation. Can be pre-defined or found based on loci
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
-
group
(int | str
, default:1
) –locus group that defines set of closely-related loci [1].
Source code in lovis4u/DataProcessing.py
This module provides visualisation of loci annotation.
ColorLegendVis
Bases: Track
ColorLegend track object that handles visualisation of legend to feature's category colours.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
__init__(layout, track_data, parameters)
Create a ColorLegend object.
Parameters:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
draw(canvas)
Draw a ColorLegend track.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
None
–None
Source code in lovis4u/Drawing.py
CrossTrack
Parent class for Cross-Tracks visualisation.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
tracks
(dict
) –List with track objects participated in CrossTrack.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
__init__(layout, tracks, parameters)
Parent's constructor for creating a CrossTrack object.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
tracks
(dict
) –List with track objects participated in CrossTrack.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
draw(canvas)
Empy parent's method for cross track drawing.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
–
None
HomologyTrack
Bases: CrossTrack
Track that handle visualisation of homology lines between homologous features on neighbours' loci.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
tracks
(dict
) –List with track objects participated in CrossTrack.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
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__init__(layout, tracks, parameters)
Create a HomologyTrack.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
tracks
(dict
) –List with track objects participated in CrossTrack.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
draw(canvas)
Draw HomologyTrack on canvas.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
None
–None
Source code in lovis4u/Drawing.py
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LocusVis
Bases: Track
LocusVis track object that handles each locus visualisation.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
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__init__(layout, track_data, parameters)
Create a LocusVis object.
Parameters:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
__plot_cds_feature(canvas, feature_data, y_center, height)
Helper method to plot feature polygone
Returns:
-
None
–None
Source code in lovis4u/Drawing.py
draw(canvas)
Draw a LocusVis track.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
None
–None
Source code in lovis4u/Drawing.py
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ScaleVis
Bases: Track
ScaleVis track object that handles visualisation of scale bottom line.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
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__init__(layout, track_data, parameters)
Create a LocusVis object.
Parameters:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
draw(canvas)
Draw a ScaleVis track.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
None
–None
Source code in lovis4u/Drawing.py
Track
Parent class for visualisation Tracks.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
prms
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
__init__(layout, track_data, parameters)
Parent's constructor for creating a Track object.
Parameters:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –a dictionary with prepared track specific data.
-
parameters
(Parameters
) –Parameters' class object.
Source code in lovis4u/Drawing.py
draw(canvas)
Empy parent's method for track drawing.
Parameters:
-
canvas
(Canvas
) –a canvas object.
Returns:
-
None
–None
This module provides managing classes and methods for the tool.
Canvas
An Image object holds canvas;.
Attributes:
-
canvas
(Canvas
) –canvas object of the reportlab library.
Source code in lovis4u/Manager.py
__init__(filename, width, height, parameters)
Create a Canvas object.
Parameters:
-
filename
(str
) –path and name of the output pdf.
-
width
(float
) –width of the canvas.
-
height
(float
) –height of the pdf.
Source code in lovis4u/Manager.py
save()
Save canvas as a pdf file.
Returns:
-
None
–None
CanvasManager
Canvas manager object responsible for preprocessing data for visualisation and interaction between visualisation and raw data.
Attributes:
-
layout
(dict
) –Defines size and coordinate system of a canvas.
-
tracks
(list
) –List containing Track objects each of them represents visualisation unit (e.g. particular locus).
-
cross_tracks
(list
) –List containing CrossTrack objects each of them represents visualisation unit that interacts with multiple regular Track objects.
prms (Parameters): Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/Manager.py
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__init__(parameters)
Create a CanvasManager object.
Parameters:
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/Manager.py
add_categories_colour_legend_track(loci)
Add categories colour legend tracks to your canvas.
Parameters:
-
loci
(Loci
) –Loci object with information about sequences and features.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
add_homology_track()
Add homology track to your canvas.
You should add this track after you added loci tracks.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
add_loci_tracks(loci)
Add loci tracks to your canvas.
Parameters:
-
loci
(Loci
) –Loci object with information about sequences and features.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
add_scale_line_track()
Add scale line tracks to your canvas.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
define_layout(loci)
Define canvas' layout based on input loci.
Parameters:
-
loci
(Loci
) –Loci object with information about sequences and features.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
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plot(filename)
Plot all added tracks and save the plot as pdf.
Parameters:
-
filename
(str
) –filename for the output pdf.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
CategoriesColorLegendLoader
Bases: Loader
A CategoriesColorLegendLoader object prepares data for a categories colour legend track Drawing object.
Attributes:
-
prms
(Parameters
) –Parameters' class object.
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –Track specific data that will be sent to the Drawing module.
Source code in lovis4u/Manager.py
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__init__(parameters)
Create a CategoriesColorLegendLoader object.
Parameters:
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
calculate_track_height()
Calculate track height to define layout.
Returns:
-
float
–track height.
Source code in lovis4u/Manager.py
create_track()
Initialise a ColorLegendVis track object.
Returns:
-
–
lovis4u.Drawing.LocusVis | None: visualisation track.
Source code in lovis4u/Manager.py
prepare_track_specific_data(layout, loci)
Prepare ScaleLoader specific data.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
loci
(Loci
) –Loci object with information about sequences and features.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
Loader
Parent class for tracks loaders.
Attributes:
-
prms
(Parameters
) –Parameters' class object.
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –Track specific data that will be sent to the Drawing module.
Source code in lovis4u/Manager.py
__init__(parameters)
Parent's constructor for creating a Loader class object.
Parameters:
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
Source code in lovis4u/Manager.py
calculate_track_height()
create_track()
LocusLoader
Bases: Loader
A LocusLoader object prepares data for a Locus track Drawing object.
Attributes:
-
prms
(Parameters
) –Parameters' class object.
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –Track specific data that will be sent to the Drawing module.
Source code in lovis4u/Manager.py
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__init__(parameters)
Create a LocusLoader object.
Parameters:
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
calculate_track_height()
Calculate track height to define layout.
Returns:
-
float
(float
) –track height.
Source code in lovis4u/Manager.py
create_track()
Initialise a LocusVis track object.
Returns:
-
–
lovis4u.Drawing.LocusVis: visualisation track.
Source code in lovis4u/Manager.py
prepare_track_specific_data(locus, layout)
Prepare LocusLoader specific data.
Attributes:
-
locus
(Locus
) –corresponding locus object.
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
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Parameters
A Parameters object holds and parse command line's and config's arguments.
A Parameters object have to be created in each script since it's used almost by each class of the tool as a mandatory argument.
Attributes:
-
args
(dict
) –dictionary that holds all arguments.
Source code in lovis4u/Manager.py
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__init__()
load_config(path='standard')
Load configuration file.
Arguments path (str): path to a config file or name (only standard available at this moment).
Returns:
-
None
–None
Source code in lovis4u/Manager.py
load_fonts()
Load fonts.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
load_palette()
Load palette file.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
parse_cmd_arguments()
Parse command-line args
Returns:
-
None
–None
Source code in lovis4u/Manager.py
ScaleLoader
Bases: Loader
A LocusLoader object prepares data for a Scale track Drawing object.
Attributes:
-
prms
(Parameters
) –Parameters' class object.
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
-
track_data
(dict
) –Track specific data that will be sent to the Drawing module.
Source code in lovis4u/Manager.py
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__init__(parameters)
Create a ScaleLoader object.
Parameters:
-
parameters
(Parameters
) –Parameters' class object that holds config and cmd arguments.
calculate_track_height()
Calculate track height to define layout.
Returns:
-
float
–track height.
Source code in lovis4u/Manager.py
create_track()
Initialise a ScaleVis track object.
Returns:
-
–
lovis4u.Drawing.LocusVis: visualisation track.
Source code in lovis4u/Manager.py
prepare_track_specific_data(layout)
Prepare ScaleLoader specific data.
Attributes:
-
layout
(dict
) –Layout built by CanvasManager's define_layout() method.
Returns:
-
None
–None
Source code in lovis4u/Manager.py
This module provides some methods (e.g. colors tranformation, data copying) used by the tool.
adjust_paths(to)
Change paths in the internal config files for linux or mac.
Parameters:
-
to
(str
) –mac | linux
Returns:
-
None
–None
Source code in lovis4u/Methods.py
copy_package_data()
Copy the lovis4u package data folder to your current dir.
Returns:
-
None
–None
Source code in lovis4u/Methods.py
feature_nt_to_x_transform(nt_start, nt_end, feature_strand, locus, layout)
Transform feature coordinates to x page coordinates.
Parameters:
-
nt_start
(int
) –1-based nucleotide start coordinate.
-
nt_end
(int
) –1-based nucleotide end coordinate.
-
feature_strand
(int
) –1 | -1 corresponding to plus or minus strand, respectively.
-
locus
(Locus
) –Corresponding locus object.
-
layout
(dict
) –Layout of the canvas.
Returns:
-
dict
(dict
) –Dictionary with corresponding start and end page coordinates.
Source code in lovis4u/Methods.py
get_colour(name, parameters)
Get HEX colour by its name
Parameters:
Returns:
-
str
(str
) –HEX colour.
Source code in lovis4u/Methods.py
get_colour_rgba(name, parameters)
Get rgba colour by its name
Parameters:
Returns:
-
tuple
(tuple
) –RGBA colour
Source code in lovis4u/Methods.py
nt_to_x_transform(nt, locus, layout, mode)
Transform nucleotide coordinate to x page coordinate.
Parameters:
-
nt
(int
) –Nucleotide coordinate.
-
locus
(Locus
) –Corresponding locus object.
-
layout
(dict
) –Layout of the canvas.
-
mode
(str
) –Mode whether coordinate should be centered to the nt or on the side.
Returns:
-
float
(float
) –Corresponding page coordinate.
Source code in lovis4u/Methods.py
region_nt_to_x_transform(nt_start, nt_end, locus, layout)
Transform region coordinates to x page coordinates.
Parameters:
-
nt_start
(int
) –1-based nucleotide start coordinate.
-
nt_end
(int
) –1-based nucleotide end coordinate.
-
locus
(Locus
) –Corresponding locus object.
-
layout
(dict
) –Layout of the canvas.
Returns:
-
dict
(dict
) –Dictionary with corresponding start and end page coordinates.
Source code in lovis4u/Methods.py
scale_lightness(hex_c, scale_l)
Helper function to get darker version of input colour
Parameters:
Returns:
-
str
(str
) –new HEX colour
Source code in lovis4u/Methods.py
str_font_size_to_height(font_size, font_type)
Transform string font size to height.
Parameters:
-
font_size
(float
) –font_size.
-
font_type
(str
) –font type (see config file; at this moment only regular is available).
Returns:
-
float
(float
) –height of the string.
Source code in lovis4u/Methods.py
str_height_to_size(height, font_type)
Transform string height to the font size.
Parameters:
-
height
(float
) –available height of the string.
-
font_type
(str
) –font type (see config file; at this moment only regular is available).
Returns:
-
float
(float
) –font size defined by height.
Source code in lovis4u/Methods.py
update_path_extension(path, new_extension)
Get path basename and replace its extension
Parameters:
Returns:
-
str
(str
) –basename of a file with new extension.