Demo Data from VLDB 2026 / reviewers in the wild / expert
Quanyu Chen
dblp:411/0475
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2026
0000-0002-3172-0540ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
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 2 heaviest of 2, 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
assembly quality assessment |
0.8 | 1 | 2024 | GCI: a continuity inspector for complete genome assembly · Bioinform. 2024 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
genome assembly |
0.8 | 1 | 2024 | GCI: a continuity inspector for complete genome assembly · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
long-read alignment · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | SCAR: A Neural Rendering Accelerator with Sparse-aware Sampling and Conflict-Free Encoding
Yunxiang He, Yongzhi Zhang, Qihan Ding, Quanyu Chen |
ISCAS | 5 |
| 2024 | GCI: a continuity inspector for complete genome assemblyabstractMOTIVATION: Recent advances in long-read sequencing technologies have significantly facilitated the production of high-quality genome assembly. The telomere-to-telomere (T2T) gapless assembly has become the new golden standard of genome assembly efforts. Several recent efforts have claimed to produce T2T-level reference genomes. However, a universal standard is still missing to qualify a genome assembly to be at T2T standard. Traditional genome assembly assessment metrics (N50 and its derivatives) have no capacity in differentiating between nearly T2T assembly and the truly T2T assembly in continuity either globally or locally. Additionally, these metrics are independent of raw reads, making them inflated easily by artificial operations. Therefore, a gaplessness evaluation tool at single-nucleotide resolution to reflect true completeness is urgently needed in the era of complete genomes. RESULTS: Here, we present a tool called Genome Continuity Inspector (GCI), designed to assess genome assembly continuity at single-base resolution, and evaluate how close an assembly is to the T2T level. GCI utilizes multiple aligners to map long reads from various sequencing platforms back to the assembly. By incorporating curated mapping coverage of high-confidence read alignments, GCI identifies potential assembly issues. Meanwhile, it provides GCI scores that quantify overall assembly continuity on the whole genome or chromosome scales. AVAILABILITY AND IMPLEMENTATION: The open-source GCI code is freely available on Github (https://github.com/yeeus/GCI) under the MIT license. Quanyu Chen, Chentao Yang, Guojie Zhang, Dongya Wu |
Bioinform. | 1 |