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HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens
SUMMARY: 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 cha...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870698/ https://www.ncbi.nlm.nih.gov/pubmed/28505270 http://dx.doi.org/10.1093/bioinformatics/btx319 |
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author | Scheeder, Christian Heigwer, Florian Boutros, Michael |
author_facet | Scheeder, Christian Heigwer, Florian Boutros, Michael |
author_sort | Scheeder, Christian |
collection | PubMed |
description | SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-5870698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58706982018-04-05 HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens Scheeder, Christian Heigwer, Florian Boutros, Michael Bioinformatics Applications Notes SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-09-15 2017-05-15 /pmc/articles/PMC5870698/ /pubmed/28505270 http://dx.doi.org/10.1093/bioinformatics/btx319 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Scheeder, Christian Heigwer, Florian Boutros, Michael HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title_full | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title_fullStr | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title_full_unstemmed | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title_short | HTSvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
title_sort | htsvis: a web app for exploratory data analysis and visualization of arrayed high-throughput screens |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870698/ https://www.ncbi.nlm.nih.gov/pubmed/28505270 http://dx.doi.org/10.1093/bioinformatics/btx319 |
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