VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments

Bibliographic Details
Title: VISPR-online: a web-based interactive tool to visualize CRISPR screening experiments
Authors: Yingbo Cui, Zihang Wang, Johannes Köster, Xiangke Liao, Shaoliang Peng, Tao Tang, Chun Huang, Canqun Yang
Source: BMC Bioinformatics, Vol 22, Iss 1, Pp 1-7 (2021)
Publisher Information: BMC, 2021.
Publication Year: 2021
Collection: LCC:Computer applications to medicine. Medical informatics
LCC:Biology (General)
Subject Terms: CRISPR, CRISPR screening, Visualization, VISPR, Computer applications to medicine. Medical informatics, R858-859.7, Biology (General), QH301-705.5
More Details: Abstract Background VISPR is an interactive visualization and analysis framework for CRISPR screening experiments. However, it only supports the output of MAGeCK, and requires installation and manual configuration. Furthermore, VISPR is designed to run on a single computer, and data sharing between collaborators is challenging. Results To make the tool easily accessible to the community, we present VISPR-online, a web-based general application allowing users to visualize, explore, and share CRISPR screening data online with a few simple steps. VISPR-online provides an exploration of screening results and visualization of read count changes. Apart from MAGeCK, VISPR-online supports two more popular CRISPR screening analysis tools: BAGEL and JACKS. It provides an interactive environment for exploring gene essentiality, viewing guide RNA (gRNA) locations, and allowing users to resume and share screening results. Conclusions VISPR-online allows users to visualize, explore and share CRISPR screening data online. It is freely available at http://vispr-online.weililab.org , while the source code is available at https://github.com/lemoncyb/VISPR-online .
Document Type: article
File Description: electronic resource
Language: English
ISSN: 1471-2105
Relation: https://doaj.org/toc/1471-2105
DOI: 10.1186/s12859-021-04275-5
Access URL: https://doaj.org/article/a01515760a4f42b39a97e449e9a3f3d5
Accession Number: edsdoj.01515760a4f42b39a97e449e9a3f3d5
Database: Directory of Open Access Journals
More Details
ISSN:14712105
DOI:10.1186/s12859-021-04275-5
Published in:BMC Bioinformatics
Language:English