Use Circos to create concise, explanatory, unique and print-ready visualizations of your data.

Current version is 0.52.

Try the online version.

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Current version is 0.52.
This is a bug release. Issues with ideogram ordering and axis breaks have been addressed.
Current tools version is v0.13.
New is categoryviewer, used to visualize categorical data and a significantly updated tableviewer. Read about the theory and practise of visualizing tabular data.

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Circos Online An online version of Circos is now available to visualize tabular data. Turn your tables into informative images!

3x3 table	4x4 table
6x6 table	8x8 table

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Circos in Conde Nast Portfolio

Conde Nast Porfolio features an article on personalized genome sequencing. An image by Circos appears in a double-page spread. The art direction called for something primarily artistic and visually appealing, but also connected to the content of the article.

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Circos in American Scientist

An image created by Circos appears on the cover of the Sept/Oct issue of American Scientist.

The image accompanies an article by Elaine Ostrander about dog genetics and illustrates the deep sequence similarity between the human and dog genomes. Read about the figure.

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Circos in New York Times

Circos is used to generate a visualization of the 2007 Democratic and Republican Debates. The image was created by Jonathan Corum and Farhana Hossain, who discuss how the image was conceptualized.

Circos is featured in the Science section of the New York Times (22 Jan 2007).

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Circos Presentations

Circos - a data viewer with comparative genomics in mind

Visualizing quantitative information - featuring work of Tufte

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Circos Posters

A variety of Circos posters are available.

motivation

For details about the methodology behind the use of Circos to visualize tabular data, see the article Visualizing Tabular Data.

For an in-depth description of the configuration syntax for tableviewer script set, see Visualizing Tabular Data - Part II.

script location

tools/tableviewer

script usage

> cd tools/tableviewer
# create an image of a basic sample table
> ./makeimage-basic
# create an image of a sample table with row/col order information
> ./makeimage-ordered
# create an image of a sample table with row/col order an color information
> ./makeimage-ordered-colored

The tableviewer is composed of three parts

• make-table - creates a random table (helpful for debugging and exploration)
• parse-table - parses a table into an intermediate state
• make-conf - uses output of parse-table and creates Circos data files and configuration files

To get the full manpage, use -man.

> cd tools/tableviewer
> bin/make-table -man
> bin/parse-table -man
> bin/make-conf -man

Adjust the configuration files in etc/ to suit your needs.

details

The scripts in tableviewer/ (make-table, parse-table, make-conf) generate a Circos image of tabular data. For more information about how tabular data is represented, see the online tableviewer. The online version limits you to 15 columns and rows and with the scripts described here you can process tables of any size.

There are three scripts that compose the tableviewer package

• make-table - Create a table filled with random values. Useful when you need to debug or explore visualization for tables with specific properties. You don't need this script if you only want to exclusively work with your own data.
• parse-table - Parses a table file (your own or generated with make-table) and generates a parsed data stream that is used by make-conf
• make-conf - Uses output of parse-table to create data files and configuration files used by Circos to visualize the table

make-table

This script is helpful to generate random data to test-drive the rest of the tableviewer package. For example, you can generate a small table

> bin/make-table -row 3 -brief
 lbl    A    B    C
   A   80  387  112
   B    1   30   61
   C   96  146   29

or a large one

> bin/make-table -row 15 -brief
 lbl    A    B    C    D    E    F    G    H    I    J    K    L    M    N    O
   A  376   78  367   75   72  184  452  285  310  142  469  215  107  106   95
   B   38   33   36   55   53   68   77   35   59   20   52   36   19   23   19
   C  108   79  121   47  120   95   65   30   89  125   78   99   39  166   82
   D   90   78   77   63  153   35   97  133  213  129  137  159   40   65  100
   E   99   52  129  139  129   27   95  129   36   90   32   73   82  110  131
   F  145  162  104  121   84   67  125   98  146   11  156   62  153   72  167
   G   67  123   53   39    6  108   36   77  118   96   92   97  119  142  142
   H   55   74   92   33   77   43  109   39  166  182   92    1  115   91   85
   I  135  168  101   78   21   85   76   94  105   18  144  174  135  120  168
   J   98   94   32   76   44    9   45  133  132   42   64   29   57   92  141
   K   74   71  117   98  118   88  104   80  168  127   33   46    5  110   68
   L   65  179   54   73   93  110  123   81  156  109   58   72  131   59   76
   M   93   73   60  226   59   55  140  124  210  136   59   79   80  106  204
   N  143  150   92   67   94  239   48  125  214  119   84   76  121   72   92
   O  134  122   83  223  101   74  161  155  151  159  183  154   15   48  145

You can use -row and -col to independently set the number of rows and columns in the table.

By using -unique, you can request that row and column labels are all different.

> bin/make-table -row 3 -brief -uniq
 lbl    D    E    F
   A  288   40  245
   B   52   52   33
   C  139   76   85

Uniquely labeled rows and columns generate an image in which each row and column has its own segment, since segments are keyed by label. If your table represents relationships between a set of items, then row/column labels will be the same. However, if your table represents relationshpis between two disjoint sets, then the labels will be different.

Notice that make-table creates output with a leading space in each line. The configuration file for make-table defines the precise format of the output line and here you can adjust the width of each field. When parsing this output using parse-table (see below), you should always set strip_leading_space=yes (this is the default) in parse-table.conf so that any leading space in lines is removed.

parse-table

This script parses the table file and generates row, column, and cell statistics and data values that are subsequently used to create configuration and input files using make-conf.

This part of the tableviewer suite is the most complex and has the largest number of configuration settings, since this is the script that determines the position and color of all the elements in the final image.

Please read the etc/parse-table.conf configuration file for an explanation of what the parameters do. It's likely that you will find the configuration file overwhelming at first - do not dispair! By learning how the elements of the configuration file affect the final image, you will be able to tweak the output image to best represent your data. You can control nearly every aspect of how the table is shown. Parameters such as col/row order can be either manually set (via order rows and columns in the input file) or automatically determined (based on label value or row/column size).

To help you experiment, you should construct two simple tables using the make-table tool - one with unique labels and one with shared column/row labels

> bin/make-table -rows 5 -seed 123 -brief -uniq  > samples/table-basic-unique.txt
> bin/make-table -rows 5 -seed 123 -brief        > samples/table-basic-shared.txt

and then play with parse-table.conf settings as you draw each table

cat samples/table-unique.txt | bin/parse-table | bin/make-conf -dir data/
../../bin/circos -conf etc/circos.conf

Take a look at the example images associated with this tutorial to get a feeling for the kind of variety that is possible.

make-conf

The only option to make-conf is the directory to which it should write the data files.

> cat samples/table-basic.txt | bin/parse-table | bin/make-conf -dir data/

Make sure that paths in the etc/circos.conf file correctly reflect the location to which the data files were written.