miasort 0.1.1

A Tool for Multiplex Chromatin Interaction Analysis by Efficiently Sorting Chromatin Complexes

MIA-Sort

Authors: Zichen Zhang and Minji Kim, University of Michigan

Code for the Paper "MIA-Sort: Multiplex Chromatin Interaction Analysis by Efficiently Sorting Chromatin Complexes"

About

miasort is a Python Library for multiplex chromatin interaction analysis by efficiently sorting chromatin complexes.

To start using miasort, you need to install bedtools. To do so, follow instructions on https://bedtools.readthedocs.io/en/latest/content/installation.html#. One of the options is:

$ mamba install -c conda-forge bedtools

After doing so, you can simply install our library:

$ pip install miasort

Documentation

1. abc_sort()

Purpose: Sorts three regions and generates plots or histograms as needed.

Parameters:

• path1 (str): Path to the first input file.
• path2 (str): Path to the second input file.
• graphs (str): Graph configuration for sorting. There are in total 6 schemes: AtoC, CtoA, AandC, Bcentered, BtoA and BtoC. If you want all these 6 schemes, set this parameter as AtoC;CtoA;AandC;Bcentered;BtoA;BtoC (seperated by semicolons).
• out_dir (str, optional): Output directory for the results. Default is '/'.
• plot (bool, optional): Whether to generate plots. Default is True.
• histogram (bool, optional): Whether to generate histograms. Default is False.
• anchor_option (str, optional): Anchor options for sorting: yes_complete (drawing complex anchors), yes_top (drawing anchors on top of the plot), and no (do not draw anchors). Default is 'no'.
• colors (str, optional): Colors for the anchors, fragments and lines on the plot respectively. Each item should be separated by a semicolon. Default is 'red;green;#525252'.
• num_frag_min (int, optional): Minimum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 2.
• num_frag_max (int, optional): Maximum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 1000.
• extension (str, optional): Extension option for fragment drawing. It can be either natural (accurately represent each fragment's length) or an integer (each fragment's length will be set to this integer when the program outputs the plots). Default is '6000'.
• frag_height (float, optional): Fragment height for plots. Default is 0.6.
• line_width (float, optional): Line width for plots. Default is 2.0.
• plot_width (int, optional): Width of the plots. Default is 50.
• subplots_margins (tuple of three elements, optional): Margins for subplots: top, bottom and hspace respectively. Learn more about these three metrics in matplotlib.pyplot.subplots_adjust. Default is (0.9, 0.05, 0.9).

Usage:

import miasort

miasort.abc_sort("./data/test_input.region",
                 "./data/test_input.domains",
                 "AtoC;CtoA;AandC;Bcentered;BtoA;BtoC",
                 out_dir="./test_folder_syn_6000",
                 anchor_option="yes_complete")

The same code is in tests/test_abc_sort.py. To run the code, you can use this commandxx`:

$ ./tests/test_abc_sort.py

Results: This code will produce two plots:

(1) (2)

This code will also generate a CSV file:

Region ID,Site A,Site B,Site C,Region,Sort Scheme,num_complexes,num_1frag,num_2frag,num_3frag,num_4frag,num>=5frag
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,AtoC,4,0,3,1,0,0
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,CtoA,4,0,4,0,0,0
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,AandC,5,0,3,2,0,0
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,BtoAC,3,0,0,3,0,0
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,BtoA,2,0,2,0,0,0
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,BtoC,2,0,2,0,0,0

2. multiple_sort()

Purpose: Sorts regions A, B, and C, generating plots or histograms as needed.

Parameters:

• path1 (str): Path to the first input file.
• path2 (str): Path to the second input file.
• out_dir (str, optional): Output directory for the results. Default is '/'.
• plot (bool, optional): Whether to generate plots. Default is True.
• histogram (bool, optional): Whether to generate histograms. Default is False.
• anchor_option (str, optional): Anchor options for sorting: yes_complete (drawing complex anchors), yes_top (drawing anchors on top of the plot), and no (do not draw anchors). Default is 'no'.
• colors (str, optional): Colors for the anchors, fragments and lines on the plot respectively. Each item should be separated by a semicolon. Default is 'red;green;#525252'.
• num_frag_min (int, optional): Minimum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 2.
• num_frag_max (int, optional): Maximum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 1000.
• extension (str, optional): Extension option for fragment drawing. It can be either natural (accurately represent each fragment's length) or an integer (each fragment's length will be set to this integer when the program outputs the plots). Default is '6000'.
• frag_height (float, optional): Fragment height for plots. Default is 0.6.
• line_width (float, optional): Line width for plots. Default is 1.5.
• plot_width (int, optional): Width of the plots. Default is 50.
• subplots_margins (tuple of three elements, optional): Margins for subplots: top, bottom and hspace respectively. Learn more about these three metrics in matplotlib.pyplot.subplots_adjust. Default is (0.9, 0.05, 0.9).

Usage:

import miasort

miasort.multiple_sort("./data/test_input.region",
                      "./data/test_input_abc.domains",
                      out_dir="./test_folder_syn_AandBandC_6000",
                      anchor_option="yes_complete",
                      subplots_margins=(0.65, 0.15, 0.9))

The same code is in tests/test_multiple_sort.py. To run the code, you can use this command:

$ ./tests/test_multiple_sort.py

Results: This code will produce three plots. One of them is shown here:

This code will also generate a CSV file:

Region ID,Site A,Site B,Site C,Region,Sort Scheme,num_complexes,num_1frag,num_2frag,num_3frag,num_4frag,num>=5frag
cr1_M-1,chr3:100000-108000,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,AandBandC,1,0,0,1,0,0
cr1_M-2,chr3:100000-109800,chr3:150000-155000,chr3:300000-308000,chr3:100000-308000,AandBandC,1,0,0,1,0,0
cr1_M-3,chr3:100000-149000,chr3:150000-155000,chr3:300000-318000,chr3:100000-318000,AandBandC,1,0,0,1,0,0

3. unlimited_multiple_sort()

Purpose: Allows for sorting an unlimited number of regions, generating plots or histograms as needed based on specified operations.

Parameters:

• path1 (str): Path to the first input file.
• regions (str): A string of regions to be sorted, separated by semicolons. This should correspond to the operations parameter. In the case of the usage demo, we require every complex to have a fragment in anchors A, C and D, but not in anchor B.
• operations (str): Operations to be applied during sorting, separated by semicolons. This should correspond to the regions parameter.
• out_dir (str, optional): Output directory for the results. Default is '/'.
• plot (bool, optional): Whether to generate plots. Default is True.
• histogram (bool, optional): Whether to generate histograms. Default is False.
• anchor_option (str, optional): Anchor options for sorting: yes_complete (drawing complex anchors), yes_top (drawing anchors on top of the plot), and no (do not draw anchors). Default is 'no'.
• colors (str, optional): Colors for the anchors, fragments and lines on the plot respectively. Each item should be separated by a semicolon. Default is 'red;green;#525252'.
• num_frag_min (int, optional): Minimum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 2.
• num_frag_max (int, optional): Maximum number of fragments required in one complex. Otherwise, we will not consider the complex. Default is 1000.
• extension (str, optional): Extension option for fragment drawing. It can be either natural (accurately represent each fragment's length) or an integer (each fragment's length will be set to this integer when the program outputs the plots). Default is '6000'.
• frag_height (float, optional): Fragment height for plots. Default is 0.6.
• line_width (float, optional): Line width for plots. Default is 1.5.
• plot_width (int, optional): Width of the plots. Default is 50.
• subplots_margins (tuple of three elements, optional): Margins for subplots: top, bottom and hspace respectively. Learn more about these three metrics in matplotlib.pyplot.subplots_adjust. Default is (0.9, 0.05, 0.9).

Usage:

import miasort

miasort.unlimited_multiple_sort("./data/test_input.region",
                                "chr3:100000-108000;chr3:150000-155000;chr3:300000-308000;chr3:420000-428000",
                                "yes;no;yes;yes",
                                out_dir="./test_folder_syn_multiple_6000",
                                anchor_option="yes_complete",
                                subplots_margins=(0.65, 0.15, 0.9))

The same code is in tests/test_unlimited_multiple_sort.py. To run the code, you can use this command:

$ ./tests/test_unlimited_multiple_sort.py

Results: This code will produce one plot:

License

Shield:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License.