Demo Data from VLDB 2026 / reviewers in the wild / expert
Rajeeva Musunuri
dblp:301/4978
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-5671-1766ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, 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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.5 | 1 | 2021 | Somatic variant analysis of linked-reads sequencing data with Lancet · Bioinform. 2021 |
Bioinformatics and computational biology › sequence analysis
sequence assembly |
0.5 | 1 | 2021 | Somatic variant analysis of linked-reads sequencing data with Lancet · Bioinform. 2021 |
Bioinformatics and computational biology › cancer genomics › somatic mutation analysis
somatic variant detection |
0.5 | 1 | 2021 | Somatic variant analysis of linked-reads sequencing data with Lancet · Bioinform. 2021 |
Bioinformatics and computational biology › genomics
variant calling |
0.5 | 1 | 2021 | Somatic variant analysis of linked-reads sequencing data with Lancet · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
local assembly · 0.5haplotype-aware coverage · 0.5colored de bruijn graph · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Somatic variant analysis of linked-reads sequencing data with LancetabstractSUMMARY: We present a new version of the popular somatic variant caller, Lancet, that supports the analysis of linked-reads sequencing data. By seamlessly integrating barcodes and haplotype read assignments within the colored De Bruijn graph local-assembly framework, Lancet computes a barcode-aware coverage and identifies variants that disagree with the local haplotype structure. AVAILABILITY AND IMPLEMENTATION: Lancet is implemented in C++ and available for academic and non-commercial research purposes as an open-source package at https://github.com/nygenome/lancet. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Rajeeva Musunuri, Kanika Arora, André Corvelo, Minita Shah, Jennifer Shelton, Michael C. Zody, Giuseppe Narzisi |
Bioinform. | 1 |