Demo Data from EDBT 2026 / reviewers in the wild / expert
Yanbo Ye
dblp:138/5753
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
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 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
comparative genomics |
0.2 | 1 | 2013 | BlastGraph: a comparative genomics tool based on BLAST and graph algorithms · Bioinform. 2013 |
Bioinformatics and computational biology › comparative genomics
genome comparison |
0.2 | 1 | 2013 | BlastGraph: a comparative genomics tool based on BLAST and graph algorithms · Bioinform. 2013 |
Bioinformatics and computational biology › sequence alignment › heuristic alignment
BLAST |
0.0 | 1 | 2013 | BlastGraph: a comparative genomics tool based on BLAST and graph algorithms · Bioinform. 2013 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 2013 | BlastGraph: a comparative genomics tool based on BLAST and graph algorithms · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
graph clustering · 0.2BLAST · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | BlastGraph: a comparative genomics tool based on BLAST and graph algorithmsabstractUNLABELLED: BlastGraph is an interactive Java program for comparative genome analysis based on Basic Local Alignment Search Tool (BLAST), graph clustering and data visualization. The software generates clusters of sequences of multiple genomes from all-to-all BLAST results and visualizes the results in graph plots together with related information such as sequence features, gene conservation and similarity relationships. Pruning algorithms are used to reduce results to more meaningful subclusters. Subsequent analyses can then be conducted based on the predicted clusters, including gene content, genome phylogenetics and gene gain and loss. AVAILABILITY AND IMPLEMENTATION: https://github.com/bigwiv/BlastGraph. Yanbo Ye, Lei Wen, Simon Rayner |
Bioinform. | 1 |