Quick View of Chosen Data
PIVOT: Platform for Interactive Analysis and Visualization of Transcriptomics Data v1.0.0
This program is developed based on the Shiny framework, a set of R packages and a collection of scripts written by members of Junhyong Kim Lab at University of Pennsylvania. Its goal is to facilitate fast and interactive RNA-Seq data analysis and visualization.
This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation; either version 2 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
Script Contributors:
Hannah Dueck (Clustering, heatmaps, densityScatter, ERCC distribution, Mann–Whitney U test)
Sarah Middleton (PCA, clustering, heatmaps, t-SNE, Normalization, ERCC detecton probablity)
Stephen Fisher (rankFreq, pairwise-correlation, DESeq)
Mugdha Khaladkar (Modified DESeq)
Qin Zhu (GUI, interactivity)
Principal Investigator:
Special thanks to Jennifer Spaethling, Derek Stefanik, Jamie Shallcross and Gehoon Chung for testing and suggestions.
Bug report, suggestions, script contribution and other related stuffs please contact Qin Zhu .
© 2015 J. Kim | All rights reserved