Open AccessA painless way to customize Circos plot: From data preparation to visualization using TBtools
Author(s) -
Chen Chengjie,
Wu Ya,
Xia Rui
Publication year - 2022
Publication title -
imeta
Language(s) - English
Resource type - Journals
ISSN - 2770-596X
DOI - 10.1002/imt2.35
Subject(s) - plot (graphics) , computer science , visualization , personalization , big data , interface (matter) , construct (python library) , set (abstract data type) , data mining , function (biology) , data visualization , scatter plot , data set , data science , artificial intelligence , biology , machine learning , world wide web , programming language , operating system , mathematics , statistics , bubble , maximum bubble pressure method , evolutionary biology
Circos plots enable scientists to easily inspect big biological data genome‐widely on a macroscopic scale, but cumbersome preparation of input data and complex parameter configuration limits its application. We have developed the “Advanced Circos” function in TBtools, to provide a simple way to construct Circos plots. As an out‐of‐the‐box combo toolkit, TBtools has integrated a set of functions convenient for input data preparation. The “Advanced Circos” function is supplied with a user‐friendly interface for the customization of parameter settings and can be deployed to visualize all kinds of genomic data, such as genomic associations, alignment data, gene density, and QTL locations. In the present article, we introduce the main features of “Advance Circos” and the protocols of upstream data preparation, aiming to endow more users with the ability to use Circos plots in big genomic data exploration.