VIJB: a companion of the JBROWSE genome browser for the visually impaired people

MOTIVATION: The availability of touch-sensitive and haptic devices has been a keystone development for the inclusion of visually impaired people (VIPs) in modern, highly digitized work environments. Braille displays have proven efficient and versatile enough to parse large and complex text files, making bioinformatics and text-heavy programming accessible to VIPs. However, the complex graphical objects -combining numerous datasets- typically generated during data integration remain challenging, even with the aid of descriptive AI. This is particularly true in functional genomics. Here, we present VIJB, a simple application that displays the multilayered output of the JBROWSE genome browser on a Braille reader, enabling VIPs to fully participate in data integration in functional genomics. AVAILABILITY AND IMPLEMENTATION: VIJB is programmed in Python and relies on the scientific library NumPy, the braillegraph and pyBigWig libraries, and the TABIX software. The architecture is summarized in Supplementary Material 1. VIJB is available for download at the GitHub repository https://GitHub.com/NiBuMNHN/VIJB and is licenced under the GPL 3.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2026-06-16
DOI
https://doi.org/10.1093/bioinformatics/btag396
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VIJB: a companion of the JBROWSE genome browser for the visually impaired people

Patricia Uguen, Laurent M. Sachs, Nicolas Buisine, Salomé Nashed
Bioinformatics
Tactile and Sensory Interactions
article

VIJB: a companion of the JBROWSE genome browser for the visually impaired people

Patricia Uguen, Laurent M. Sachs, Nicolas Buisine, Salomé Nashed
article en

Abstract

MOTIVATION: The availability of touch-sensitive and haptic devices has been a keystone development for the inclusion of visually impaired people (VIPs) in modern, highly digitized work environments. Braille displays have proven efficient and versatile enough to parse large and complex text files, making bioinformatics and text-heavy programming accessible to VIPs. However, the complex graphical objects -combining numerous datasets- typically generated during data integration remain challenging, even with the aid of descriptive AI. This is particularly true in functional genomics. Here, we present VIJB, a simple application that displays the multilayered output of the JBROWSE genome browser on a Braille reader, enabling VIPs to fully participate in data integration in functional genomics. AVAILABILITY AND IMPLEMENTATION: VIJB is programmed in Python and relies on the scientific library NumPy, the braillegraph and pyBigWig libraries, and the TABIX software. The architecture is summarized in Supplementary Material 1. VIJB is available for download at the GitHub repository https://GitHub.com/NiBuMNHN/VIJB and is licenced under the GPL 3.0. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Bioinformatics
Université Sorbonne Nouvelle (FR), Université Paris-Saclay (FR), Sorbonne Université (FR), Centre National pour la Recherche Scientifique et Technique (CNRST) (MA), Institut des Sciences des Plantes de Paris Saclay (FR), Vivantes Klinikum (DE), Muséum national d'Histoire naturelle (FR)
Centre National de la Recherche Scientifique, Muséum National d'Histoire Naturelle
Reduced inequalities
Openalex Percentile: Top 6%
Tactile and Sensory Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.