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Gianluca Tomasello

dblp:276/0784 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

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%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular informatics
molecular visualization
0.412020
The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilities · Bioinform. 2020
Bioinformatics and computational biology
structural biology
0.412020
The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilities · Bioinform. 2020

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

server-side rendering · 0.4
YearPublicationVenuePosition
2020 The Protein Imager: a full-featured online molecular viewer interface with server-side HQ-rendering capabilities
abstract
SUMMARY: Molecular viewers' long learning curve is hindering researchers in approaching the field of structural biology for the first time. Herein, we present 'The Protein Imager', a lightweight, powerful and easy-to-use interface as a next-gen online molecular viewer. Furthermore, the interface is linked to an automated server-side rendering system able to generate publication-quality molecular illustrations. The Protein Imager interface has been designed for easy usage for beginners and experts in the field alike. The interface allows the preparation of very complex molecular views maintaining a high level of responsiveness even on mobile devices. AVAILABILITY AND IMPLEMENTATION: The Protein Imager interface is freely available online at https://3dproteinimaging.com/protein-imager. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Gianluca Tomasello, Ilaria Armenia, Gianluca Molla
Bioinform.1