Demo Data from EDBT 2026 / reviewers in the wild / expert
Rainer Malik
dblp:20/5967
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2008
0000-0001-9212-2520ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › proteomics
phosphoproteomics |
0.1 | 1 | 2008 | Comparative conservation analysis of the human mitotic phosphoproteome · Bioinform. 2008 |
Bioinformatics and computational biology
biomedical text mining |
0.1 | 1 | 2006 | Combination of text-mining algorithms increases the performance · Bioinform. 2006 |
Bioinformatics and computational biology › biomedical text mining
information extraction |
0.1 | 1 | 2006 | Combination of text-mining algorithms increases the performance · Bioinform. 2006 |
Bioinformatics and computational biology › molecular evolution
evolutionary conservation analysis |
0.0 | 1 | 2008 | Comparative conservation analysis of the human mitotic phosphoproteome · Bioinform. 2008 |
Bioinformatics and computational biology › protein function prediction
gene ontology annotation |
0.0 | 1 | 2006 | Combination of text-mining algorithms increases the performance · Bioinform. 2006 |
Methods — techniques the papers use, named apart from their topics
z-score · 0.1statistical analysis · 0.1text-mining algorithm combination · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2008 | Comparative conservation analysis of the human mitotic phosphoproteomeabstractMOTIVATION: A key challenge in phosphoproteomic studies is to distinguish functionally relevant phosphorylation sites from potentially 'silent' phosphorylation. Considering that relevant phosphorylation sites are expected to be better conserved during evolution than overall Serine, Threonine and Tyrosine (S/ T/ Y) residues, we asked whether this can be directly demonstrated through statistic analysis, using a large experimental dataset. RESULTS: Analyzing phosphoproteomic data derived from the human mitotic spindle apparatus, we found that 95.2% of 1744 phosphorylation sites are conserved in at least one of six other vertebrate species. Using a new score, termed conservation Z-score (CZ-score), we demonstrate that phosphorylation sites are significantly better conserved than other S/T/Y sites, a conclusion validated from several kinase consensus motifs. Most importantly, phosphorylation sites with experimentally verified biological functions were significantly better conserved than other phosphorylation sites, indicating that analysis utilizing evolutionary conservation may constitute a powerful basis for the development of improved phosphorylation site predictors. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rainer Malik, Erich A. Nigg, Roman Körner |
Bioinform. | 1 |
| 2006 | Combination of text-mining algorithms increases the performanceabstractMOTIVATION: Recently, several information extraction systems have been developed to retrieve relevant information out of biomedical text. However, these methods represent individual efforts. In this paper, we show that by combining different algorithms and their outcome, the results improve significantly. For this reason, CONAN has been created, a system which combines different programs and their outcome. Its methods include tagging of gene/protein names, finding interaction and mutation data, tagging of biological concepts and linking to MeSH and Gene Ontology terms. RESULTS: In this paper, we will present data that show that combining different text-mining algorithms significantly improves the results. Not only is CONAN a full-scale approach that will ultimately cover all of PubMed/MEDLINE, we also show that this universality has no effect on quality: our system performs as well as or better than existing systems. AVAILABILITY: The LDD corpus presented is available by request to the author. The system will be available shortly. For information and updates on CONAN please visit http://www.cs.uu.nl/people/rainer/conan.html. Rainer Malik, Lude Franke, Arno Siebes |
Bioinform. | 1 |