Demo Data from EDBT 2026 / reviewers in the wild / expert
Junpeng Fan
dblp:257/4286
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.4 | 1 | 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assembly · Bioinform. 2020 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome polishing |
0.4 | 1 | 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assembly · Bioinform. 2020 |
Bioinformatics and computational biology
genomics |
0.4 | 1 | 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assembly · Bioinform. 2020 |
Bioinformatics and computational biology › sequence analysis
long-read sequencing |
0.1 | 1 | 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assembly · Bioinform. 2020 |
Bioinformatics and computational biology › genomics
sequencing |
0.1 | 1 | 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assembly · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
k-mer counting · 0.4error correction · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | NextPolish: a fast and efficient genome polishing tool for long-read assemblyabstractMOTIVATION: Although long-read sequencing technologies can produce genomes with long contiguity, they suffer from high error rates. Thus, we developed NextPolish, a tool that efficiently corrects sequence errors in genomes assembled with long reads. This new tool consists of two interlinked modules that are designed to score and count K-mers from high quality short reads, and to polish genome assemblies containing large numbers of base errors. RESULTS: When evaluated for the speed and efficiency using human and a plant (Arabidopsis thaliana) genomes, NextPolish outperformed Pilon by correcting sequence errors faster, and with a higher correction accuracy. AVAILABILITY AND IMPLEMENTATION: NextPolish is implemented in C and Python. The source code is available from https://github.com/Nextomics/NextPolish. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Junpeng Fan, Zongyi Sun, Shanlin Liu |
Bioinform. | 2 |