Demo Data from VLDB 2026 / reviewers in the wild / expert
Sangita Choudhury
dblp:436/6065
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
1.0 | 1 | 2026 | Duplex-Indel: a Snakemake pipeline for somatic Indel calling in Tn5 transposase-based duplex sequencing data · Bioinform. 2026 |
Bioinformatics and computational biology › sequence analysis › sequence variation analysis
indel detection |
1.0 | 1 | 2026 | Duplex-Indel: a Snakemake pipeline for somatic Indel calling in Tn5 transposase-based duplex sequencing data · Bioinform. 2026 |
Bioinformatics and computational biology › cancer genomics › somatic mutation analysis
somatic mutation detection |
1.0 | 1 | 2026 | Duplex-Indel: a Snakemake pipeline for somatic Indel calling in Tn5 transposase-based duplex sequencing data · Bioinform. 2026 |
Methods — techniques the papers use, named apart from their topics
snakemake workflow · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Duplex-Indel: a Snakemake pipeline for somatic Indel calling in Tn5 transposase-based duplex sequencing dataabstractSUMMARY: Duplex-Indel is a novel Snakemake workflow for detecting somatic small insertions and deletions (Indels) from Tn5 transposase-based duplex sequencing data. Duplex-Indel enhances the accuracy of mutation calling at the single-molecule level by requiring consensus support from both DNA strands for each somatic Indel, minimizing confounding from technical artifacts. Duplex-Indel extends somatic mutation calling in Tn5 transposase-based duplex sequencing data to include Indels. We have demonstrated the accuracy and robustness of Duplex-Indel using cancer cell lines. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are available under the MIT license on GitHub at https://github.com/ealee-lab/duplex-indel and archived on Zenodo at https://doi.org/10.5281/zenodo.19228799. Guanlan Dong, Nazia Hilal, Shayna Mallett, Bowen Jin, Shulin Mao, Monica Devi Manam, Diane D. Shao, Sangita Choudhury, August Yue Huang, Eunjung Alice Lee |
Bioinform. | 8 |