Demo Data from SIGIR 2026 / reviewers in the wild / expert
Rasmus Wernersson
dblp:53/6999
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2011
0000-0003-4417-9842ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
comparative genomics |
0.1 | 1 | 2011 | The strength of intron donor splice sites in human genes displays a bell-shaped pattern · Bioinform. 2011 |
Bioinformatics and computational biology › RNA biology › RNA analysis
RNA bioinformatics |
0.1 | 1 | 2011 | The strength of intron donor splice sites in human genes displays a bell-shaped pattern · Bioinform. 2011 |
Bioinformatics and computational biology › molecular evolution
protein coevolution |
0.1 | 1 | 2009 | InterMap3D: predicting and visualizing co-evolving protein residues · Bioinform. 2009 |
Bioinformatics and computational biology › structural bioinformatics › protein structure representation
protein structure visualization |
0.0 | 1 | 2009 | InterMap3D: predicting and visualizing co-evolving protein residues · Bioinform. 2009 |
Methods — techniques the papers use, named apart from their topics
statistical analysis of splice site strengths · 0.1row and column weighting · 0.1mutual information · 0.1dependency · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | The strength of intron donor splice sites in human genes displays a bell-shaped patternabstractMOTIVATION: The gene concept has recently changed from the classical one protein notion into a much more diverse picture, where overlapping or fused transcripts, alternative transcription initiation, and genes within genes, add to the complexity generated by alternative splicing. Increased understanding of the mechanisms controlling pre-mRNA splicing is thus important for a wide range of aspects relating to gene expression. RESULTS: We have discovered a convex gene delineating pattern in the strength of 5' intron splice sites. When comparing the strengths of > 18,000 intron containing Human genes, we found that when analysing them separately according to the number of introns they contain, initial splice sites were always stronger on average than subsequent ones, and that a similar reversed trend exist towards the terminal gene part. The convex pattern is strongest for genes with up to 10 introns. Interestingly, when analysing the intron containing gene pool from mouse consisting of >15,000 genes, we found the convex pattern to be conserved despite > 75 million years of evolutionary divergence between the two organisms. We also analysed an interesting, novel class of chimeric genes which during spliceosome assembly are fused and in tandem are transcribed and spliced into a single mature mRNA sequence. In their splice site patterns, these genes individually seem to deviate from the convex pattern, offering a possible rationale behind their fusion into a single transcript. Rasmus Wernersson, Søren Brunak |
Bioinform. | 2 |
| 2009 | InterMap3D: predicting and visualizing co-evolving protein residuesabstractSUMMARY: InterMap3D predicts co-evolving protein residues and plots them on the 3D protein structure. Starting with a single protein sequence, InterMap3D automatically finds a set of homologous sequences, generates an alignment and fetches the most similar 3D structure from the Protein Data Bank (PDB). It can also accept a user-generated alignment. Based on the alignment, co-evolving residues are then predicted using three different methods: Row and Column Weighing of Mutual Information, Mutual Information/Entropy and Dependency. Finally, InterMap3D generates high-quality images of the protein with the predicted co-evolving residues highlighted. AVAILABILITY: http://www.cbs.dtu.dk/services/InterMap3D/. Rodrigo Gouveia-Oliveira, Francisco S. Roque, Rasmus Wernersson, Thomas Sicheritz-Pontén, Peter Wad Sackett, Anne Mølgaard, Anders Gorm Pedersen |
Bioinform. | 3 |