CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances

Author:

Anastasiadi M1,Bragin E2,Biojoux P1,Ahamed A1,Burgin J1,de Castro Cogle K1,Llaneza-Lago S1,Muvunyi R1,Scislak M1,Aktan I1,Molitor C1,Kurowski T1,Mohareb F1ORCID

Affiliation:

1. School of Water, Energy and Environment, Cranfield University, Cranfield MK43 0AL, UK

2. Next Gen Diagnostics, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK

Abstract

Abstract Summary In recent years, the ability to generate genomic data has increased dramatically along with the demand for easily personalized and customizable genome browsers for effective visualization of diverse types of data. Despite the large number of web-based genome browsers available nowadays, none of the existing tools provides means for creating multiple visualization instances without manual set up on the deployment server side. The Cranfield Genome Browser (CRAMER) is an open-source, lightweight and highly customizable web application for interactive visualization of genomic data. Once deployed, CRAMER supports seamless creation of multiple visualization instances in parallel while allowing users to control and customize multiple tracks. The application is deployed on a Node.js server and is supported by a MongoDB database which stored all customizations made by the users allowing quick navigation between instances. Currently, the browser supports visualizing a large number of file formats for genome annotation, variant calling, reads coverage and gene expression. Additionally, the browser supports direct Javascript coding for personalized tracks, providing a whole new level of customization both functionally and visually. Tracks can be added via direct file upload or processed in real-time via links to files stored remotely on an FTP repository. Furthermore, additional tracks can be added by users via simple drag and drop to an existing visualization instance. Availability and implementation CRAMER is implemented in JavaScript and is publicly available on GitHub on https://github.com/FadyMohareb/cramer. The application is released under an MIT licence and can be deployed on any server running Linux or Mac OS. Contact f.mohareb@cranfield.ac.uk Supplementary information Supplementary data are available at Bioinformatics online.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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