HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens

Bioinformatics
Christian ScheederMichael Boutros

Abstract

Arrayed high-throughput screens (HTS) cover a broad range of applications using RNAi or small molecules as perturbations and specialized software packages for statistical analysis have become available. However, exploratory data analysis and integration of screening results has remained challenging due to the size of the data sets and the lack of user-friendly tools for interpretation and visualization of screening results. Here we present HTSvis, a web application to interactively visualize raw data, perform quality control and assess screening results from single to multi-channel measurements such as image-based screens. Per well aggregated raw and analyzed data of various assay types and scales can be loaded in a generic tabular format. HTSvis is distributed as an open-source R package, downloadable from https://github.com/boutroslab/HTSvis and can also be accessed at http://htsvis.dkfz.de . m.boutros@dkfz.de. Supplementary data are available at Bioinformatics online .

References

Feb 19, 2000·Current Opinion in Biotechnology·S A Sundberg
Jul 28, 2006·Genome Biology·Michael BoutrosWolfgang Huber
Apr 13, 2007·Nature·Angelique W WhitehurstMichael A White
Aug 1, 2009·Nature Methods·Amanda BirminghamCaroline E Shamu
Mar 2, 2011·Nature Reviews. Drug Discovery·Ricardo MacarronG Sitta Sittampalam
Mar 10, 2015·ELife·Bernd FischerMichael Boutros
Dec 19, 2015·Genome Biology·Bálint AntalRafael E Carazo Salas
Feb 24, 2016·Nature Communications·Bhaskar DuttaIain D C Fraser
Jun 23, 2016·Nucleic Acids Research·Markus ListJan Baumbach

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Citations

Jul 14, 2018·F1000Research·Kevin Rue-AlbrechtAaron T L Lun
Mar 1, 2018·Genetics·Florian HeigwerMichael Boutros
Jul 19, 2018·Progress in Lipid Research·Nishikant WaseConcetta DiRusso

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