Demo Data from EDBT 2026 / reviewers in the wild / expert
Matthieu Schapira
dblp:25/8712
· DBLP profile ↗
5ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0002-1047-3309ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 5
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
4 papers |
Bioinformatics and computational biology · 100% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein analysis
protein bioinformatics |
0.4 | 1 | 2019 | UbiHub: a data hub for the explorers of ubiquitination pathways · Bioinform. 2019 |
Bioinformatics and computational biology
cancer genomics |
0.2 | 1 | 2014 | ChromoHub V2: cancer genomics · Bioinform. 2014 |
Bioinformatics and computational biology
epigenomics |
0.2 | 1 | 2014 | ChromoHub V2: cancer genomics · Bioinform. 2014 |
Bioinformatics and computational biology
drug discovery |
0.1 | 1 | 2019 | UbiHub: a data hub for the explorers of ubiquitination pathways · Bioinform. 2019 |
Bioinformatics and computational biology › drug discovery
target prioritization |
0.1 | 1 | 2019 | UbiHub: a data hub for the explorers of ubiquitination pathways · Bioinform. 2019 |
Bioinformatics and computational biology
protein structure analysis |
0.1 | 1 | 2010 | Structural genomics of histone tail recognition · Bioinform. 2010 |
Bioinformatics and computational biology › genomics
structural genomics |
0.1 | 1 | 2010 | Structural genomics of histone tail recognition · Bioinform. 2010 |
Bioinformatics and computational biology
phylogenetics |
0.1 | 1 | 2014 | ChromoHub V2: cancer genomics · Bioinform. 2014 |
Bioinformatics and computational biology
epigenetics |
0.0 | 1 | 2012 | ChromoHub: a data hub for navigators of chromatin-mediated signalling · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
phylogenetic tree visualization · 0.4data integration · 0.4mutation frequency mapping · 0.2expression analysis · 0.2phylogenetic mapping · 0.1data integration from public repositories · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Ten simple rules for open human health researchabstractInternational audience Aïda Bafeta, Jason Bobe, Jon Clucas, Pattie Gonsalves, Célya Gruson-Daniel, Kathy L. Hudson, Arno Klein, Anirudh Krishnakumar, Anna McCollister-Slipp, Ariel B. Lindner, Dusan Misevic, John A. Naslund, Camille Nebeker, Aki Nikolaidis, Irene V. Pasquetto, Gabriela Sánchez, Matthieu Schapira, Tohar Scheininger, Felix Schoeller, Anibal Sólon Heinsfeld, François Taddei |
PLoS Comput. Biol. | 17 |
| 2019 | UbiHub: a data hub for the explorers of ubiquitination pathwaysabstractMOTIVATION: Protein ubiquitination plays a central role in important cellular machineries such as protein degradation or chromatin-mediated signaling. With the recent discovery of the first potent ubiquitin-specific protease inhibitors, and the maturation of proteolysis targeting chimeras as promising chemical tools to exploit the ubiquitin-proteasome system, protein target classes associated with ubiquitination pathways are becoming the focus of intense drug-discovery efforts. RESULTS: We have developed UbiHub, an online resource that can be used to visualize a diverse array of biological, structural and chemical data on phylogenetic trees of human protein families involved in ubiquitination signaling, including E3 ligases and deubiquitinases. This interface can inform target prioritization and drug design, and serves as a navigation tool for medicinal chemists, structural and cell biologists exploring ubiquitination pathways. AVAILABILITY AND IMPLEMENTATION: https://ubihub.thesgc.org. David R. Damerell, Leonidas Koukouflis, Yufeng Tong 0001, Brian D. Marsden, Matthieu Schapira |
Bioinform. | 6 |
| 2014 | ChromoHub V2: cancer genomicsabstractSUMMARY: Cancer genomics data produced by next-generation sequencing support the notion that epigenetic mechanisms play a central role in cancer. We have previously developed Chromohub, an open access online interface where users can map chemical, structural and biological data from public repositories on phylogenetic trees of protein families involved in chromatin mediated-signaling. Here, we describe a cancer genomics interface that was recently added to Chromohub; the frequency of mutation, amplification and change in expression of chromatin factors across large cohorts of cancer patients is regularly extracted from The Cancer Genome Atlas and the International Cancer Genome Consortium and can now be mapped on phylogenetic trees of epigenetic protein families. Explorators of chromatin signaling can now easily navigate the cancer genomics landscape of writers, readers and erasers of histone marks, chromatin remodeling complexes, histones and their chaperones. AVAILABILITY AND IMPLEMENTATION: http://www.thesgc.org/chromohub/. Muhammad A. Shah, Remi Denton, Matthieu Schapira |
Bioinform. | 4 |
| 2012 | ChromoHub: a data hub for navigators of chromatin-mediated signallingabstractUNLABELLED: The rapidly increasing research activity focused on chromatin-mediated regulation of epigenetic mechanisms is generating waves of data on writers, readers and erasers of the histone code, such as protein methyltransferases, bromodomains or histone deacetylases. To make these data easily accessible to communities of research scientists coming from diverse horizons, we have created ChromoHub, an online resource where users can map on phylogenetic trees disease associations, protein structures, chemical inhibitors, histone substrates, chromosomal aberrations and other types of data extracted from public repositories and the published literature. The interface can be used to define the structural or chemical coverage of a protein family, highlight domain architectures, interrogate disease relevance or zoom in on specific genes for more detailed information. This open-access resource should serve as a hub for cell biologists, medicinal chemists, structural biologists and other navigators that explore the biology of chromatin signalling. AVAILABILITY: http://www.thesgc.org/chromohub/. Xi Ting Zhen, Remi Denton, Brian D. Marsden, Matthieu Schapira |
Bioinform. | 5 |
| 2010 | Structural genomics of histone tail recognitionabstractSUMMARY: The structural genomics of histone tail recognition web server is an open access resource that presents within mini articles all publicly available experimental structures of histone tails in complex with human proteins. Each article is composed of interactive 3D slides that dissect the structural mechanism underlying the recognition of specific sequences and histone marks. A concise text html-linked to interactive graphics guides the reader through the main features of the interaction. This resource can be used to analyze and compare binding modes across multiple histone recognition modules, to evaluate the chemical tractability of binding sites involved in epigenetic signaling and design small molecule inhibitors. AVAILABILITY: http://www.thesgc.org/resources/histone_tails/ CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Man Wai Mok, Hong Harper, Wen Hwa Lee, Jinrong Min, Stefan Knapp, Udo C. T. Oppermann, Brian D. Marsden, Matthieu Schapira |
Bioinform. | 9 |