Demo Data from EDBT 2026 / reviewers in the wild / expert
Guyang Matthew Huang
dblp:14/5612
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2002
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
BLAST output parsing |
0.0 | 1 | 2002 | UniBLAST: a system to filter, cluster, and display BLAST results and assign unique gene annotation · Bioinform. 2002 |
Bioinformatics and computational biology › genome annotation
gene annotation |
0.0 | 1 | 2002 | UniBLAST: a system to filter, cluster, and display BLAST results and assign unique gene annotation · Bioinform. 2002 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 2002 | UniBLAST: a system to filter, cluster, and display BLAST results and assign unique gene annotation · Bioinform. 2002 |
Bioinformatics and computational biology › sequence analysis
sequence clustering |
0.0 | 1 | 2002 | UniBLAST: a system to filter, cluster, and display BLAST results and assign unique gene annotation · Bioinform. 2002 |
Methods — techniques the papers use, named apart from their topics
scoring function · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2002 | UniBLAST: a system to filter, cluster, and display BLAST results and assign unique gene annotationabstractMOTIVATION: More and more often, a gene is epitomized by a large number of sequences in GenBank. This high redundancy makes it very difficult to identify a unique best match for a query sequence from its BLAST results. We developed a novel program UniBLAST that filters out uninformative hits, clusters the redundant hits, groups the hits by LocusLink, and graphically displays the results. We also implemented a scoring function in UniBLAST to assign a unique gene name to a query sequence. UniBLAST significantly increases the efficiency of gene annotation. AVAILABILITY: The program is available at http://south.genomics.org.cn/software/uniblast/index.html CONTACT: [email protected]; [email protected] Guyang Matthew Huang, Liping Wei |
Bioinform. | 2 |