Current Release: Beta.
plot, introduced by Nicolas Stransky, is often seen in cancer research publications as a visual
summary of genetic variations/mutations in cancer cohorts. The plot itself
is essentially an ensemble of multiple smaller and
simpler plots (e.g. heat maps and bar graphs) aligned and interconnected via a
common X or Y axis. This form of grid-like graphical
summary is particularly suitable for presenting data with an intricate and associative nature.
iCoMut aims to further transform the static image into an interactive data exploring experience that is flexible and versatile,
and through a web-enabled user interface, provides greater public access.
Broad TCGA GDAC data and analyses summaries provided by Jaegil Kim, Hailei Zhang, Juok Cho, and David Heiman.
iCoMut is developed by Katherine Huang, Nome Shoresh, Eila Arich-Landkof, Michael Noble, Gad Getz at Broad Institute.
By default, patients in a cancer cohort are sorted first by the histological subtypes (if available), then by the gene mutations.
Data can be sorted by clicking on the text labels of the axes and the heat maps. To perform a multi-key sorting, alt-click on a text label to add a key.
The info box located on the left reports the sorting status of the patients.
Many options to sort patients can be done by mouse clicking.
Here, for example, patients are sorting by age (click) then
by focal-level copy number gain (alt-click on "Multi-Key
Sort" located above the copy number heat map).
Rearranging Panel Layout
A panel can be collapsed by clicking on the minus icon.
Horizontal panels can be rearranged by drag and drop using the minus/plus icons located on the left of the panel titles.
Collapse and Expand All
Control buttons, for collapsing and expanding all panels, are conveniently provided at the top of the
Additionally, by first collapsing all panels, the
rearrangement of the layout order of panels can be done more easily by
drag and dropping the plus sign next the panel title.
Interactive Heat Map
Clicking (or alt-clicking) a row name will sort the columns (i.e. patients) by the row. The sorting order is toggled by clicking the same row name again.
Additionally, users can easily rearrange the order of rows by dragging and dropping the row names.
Clicking 'Show Grids' will show all the rectangles in a heat
map, including the ones with no data. When in this mode, the
cross-hair cursor is also shown. The cursor can be locked in
at a rectangle by double-clicking. The
locked cross-hair cursor will appear double-lined. To unlock the
cursor, click again. Click 'Hide Grids' to hide the grids
and cross-hair cursor. By not showing all the graphical
elements in a heat map, the visual rendering is faster.