Demo Data from EDBT 2026 / reviewers in the wild / expert
Andrew Winder
dblp:87/8712
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Applied, 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% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein structure analysis
protein domain analysis |
0.1 | 1 | 2010 | DMDM: domain mapping of disease mutations · Bioinform. 2010 |
Bioinformatics and computational biology
protein sequence analysis |
0.0 | 1 | 2010 | DMDM: domain mapping of disease mutations · Bioinform. 2010 |
Bioinformatics and computational biology
sequence alignment |
0.0 | 1 | 2010 | DMDM: domain mapping of disease mutations · Bioinform. 2010 |
Methods — techniques the papers use, named apart from their topics
sequence alignment · 0.1hidden markov model · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Information and Communication Technology Research Opportunities in Dynamic Charging for Electric VehicleabstractDynamic charging of electric vehicle technology aims to deploy the use of electric vehicle on a large scale. In order to realize and achieve an effective and reliable system, the information and communication solutions (ICT) need to be developed. The ICT solutions look particularly to assess areas such as routing, booking of the charging lane, billing, vehicle identification, guidance to charging lane and assistance while charging. In this paper, we review the state of the art of ICT solutions and provide indications for the future research. Oussama Smiai, Francesco Bellotti, Alessandro De Gloria, Riccardo Berta, Angelos Amditis, Ioannis G. Damousis, Andrew Winder |
DSD | 7 |
| 2010 | DMDM: domain mapping of disease mutationsabstractUNLABELLED: Domain mapping of disease mutations (DMDM) is a database in which each disease mutation can be displayed by its gene, protein or domain location. DMDM provides a unique domain-level view where all human coding mutations are mapped on the protein domain. To build DMDM, all human proteins were aligned to a database of conserved protein domains using a Hidden Markov Model-based sequence alignment tool (HMMer). The resulting protein-domain alignments were used to provide a domain location for all available human disease mutations and polymorphisms. The number of disease mutations and polymorphisms in each domain position are displayed alongside other relevant functional information (e.g. the binding and catalytic activity of the site and the conservation of that domain location). DMDM's protein domain view highlights molecular relationships among mutations from different diseases that might not be clearly observed with traditional gene-centric visualization tools. AVAILABILITY: Freely available at http://bioinf.umbc.edu/dmdm. Thomas A. Peterson, Asa Adadey, Ivette Santana-Cruz, Andrew Winder, Maricel G. Kann |
Bioinform. | 5 |