Demo Data from EDBT 2026 / reviewers in the wild / expert
Matteo P. Ferla
dblp:276/1187
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0002-5508-4673ORCID · verified
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 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural bioinformatics
molecular structure visualization |
0.4 | 1 | 2020 | MichelaNglo: sculpting protein views on web pages without coding · Bioinform. 2020 |
Bioinformatics and computational biology › structural bioinformatics
protein structure |
0.1 | 1 | 2020 | MichelaNglo: sculpting protein views on web pages without coding · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
web-based visualization · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MichelaNglo: sculpting protein views on web pages without codingabstractMOTIVATION: The sharing of macromolecular structural information online by scientists is predominantly performed via 2D static images, since the embedding of interactive 3D structures in webpages is non-trivial. Whilst the technologies to do so exist, they are often only implementable with significant web coding experience. RESULTS: Michelaɴɢʟo is an accessible and open-source web-based application that supports the generation, customization and sharing of interactive 3D macromolecular visualizations for digital media without requiring programming skills. A PyMOL file, PDB file, PDB identifier code or protein/gene name can be provided to form the basis of visualizations using the NGL JavaScript library. Hyperlinks that control the view can be added to text within the page. Protein-coding variants can be highlighted to support interpretation of their potential functional consequences. The resulting visualizations and text can be customized and shared, as well as embedded within existing websites by following instructions and using a self-contained download. Michelaɴɢʟo allows researchers to move away from static images and instead engage, describe and explain their protein to a wider audience in a more interactive fashion. AVAILABILITY AND IMPLEMENTATION: Michelaɴɢʟo is hosted at michelanglo.sgc.ox.ac.uk. The Python code is freely available at https://github.com/thesgc/MichelaNGLo, along with documentations about its implementation. Matteo P. Ferla, Alistair T. Pagnamenta, David R. Damerell, Jenny C. Taylor, Brian D. Marsden |
Bioinform. | 1 |