Abstract
Abstract Summary We introduce paplot, the software for generating dynamic reports that are frequently necessary in the post analytical phases of cancer genome studies. The “interactive” nature of the paplot-generated reports enables users to extract much richer information than that obtained from static graphs via most conventional visualization tools. Availability and implementation The python implementation for paplot (MIT license) is available at https://github.com/Genomon-Project/paplot. The documentation is at http://paplot-doc.readthedocs.io/en/latest/. Contact yshira@hgc.jp
Highlights
Introduction bution4.0 International License (CC-BY).The worldwide rapid accumulation of massive cancer genome sequencing data presents an unprecedented opportunity for obtaining enormous biologically and clinically important information
Several analytical tools have been developed for identifying somatic mutations (Koboldt et al 2012; Shiraishi et al 2013), structural variations (Rausch et al 2012), and prominent mutation signatures (Shiraishi et al 2015) and so on
We present paplot, a suite of programs to generate various reports for commonly needed tasks in cancer genome analysis. paplot accepts text-based input data and configuration files and generates HTML files with dynamic, interactive data visualizations powered by D3.js
Summary
The software for generating dynamic reports that are frequently. The “interactive” nature of the paplot-generated reports enables users to extract much richer information than that obtained from static graphs via most conventional visualization tools. As many existing tools only provide static figures (Skidmore et al 2016; Yin, Cook, and Lawrence 2012), it is necessary to again repeatedly execute drawing tools with different settings even for generating slightly different visualizations (e.g., sorting and filtering by specific criteria). Even when some interesting characteristics are observed, we often need to bother to refer back to the raw analytical result tables for identifying the samples and the exact values of interest, as these may not be shown in the static figures. We present paplot, a suite of programs to generate various reports for commonly needed tasks in cancer genome analysis. By modifying settings in the configuration files, users can freely change various visual aspects such as colors of objects and contents of pop-up windows appearing after DOM events such as mouse-click and mouse-over
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
