I Aktan

dblp:276/0593 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genome visualization
genome browser
0.412020
CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances · Bioinform. 2020
Bioinformatics and computational biology
genomics
0.412020
CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances · Bioinform. 2020
Visualization and visual analytics
biological data visualization
0.412020
CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances · Bioinform. 2020
Visualization and visual analytics › biological data visualization
interactive genome visualization
0.412020
CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances · Bioinform. 2020

Methods — techniques the papers use, named apart from their topics

node.js · 0.9javascript · 0.9MongoDB · 0.9
YearPublicationVenuePosition
2020 CRAMER: a lightweight, highly customizable web-based genome browser supporting multiple visualization instances
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: [email protected]. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Maria Anastasiadi, E. Bragin, P. Biojoux, Alisha Ahamed, Josephine Burgin, K. de Castro Cogle, Sergio-Llaneza Lago, R. Muvunyi, M. Scislak, I Aktan, Corentin Molitor, Tomasz J. Kurowski, Fady R. Mohareb
Bioinform.10