Demo Data from SIGIR 2026 / reviewers in the wild / expert
Andrew J. Sharp
dblp:258/2465
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-1415-5129ORCID · reported
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 3 heaviest of 3, 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 | MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020 |
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly › diploid genome assembly
haplotype-resolved assembly |
0.4 | 1 | 2020 | MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020 |
Bioinformatics and computational biology › genomics › structural variation
structural variant detection |
0.4 | 1 | 2020 | MsPAC: a tool for haplotype-phased structural variant detection · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
long-read sequencing · 0.4linked-read barcoding · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | MsPAC: a tool for haplotype-phased structural variant detectionabstractSUMMARY: While next-generation sequencing (NGS) has dramatically increased the availability of genomic data, phased genome assembly and structural variant (SV) analyses are limited by NGS read lengths. Long-read sequencing from Pacific Biosciences and NGS barcoding from 10x Genomics hold the potential for far more comprehensive views of individual genomes. Here, we present MsPAC, a tool that combines both technologies to partition reads, assemble haplotypes (via existing software) and convert assemblies into high-quality, phased SV predictions. MsPAC represents a framework for haplotype-resolved SV calls that moves one step closer to fully resolved, diploid genomes. AVAILABILITY AND IMPLEMENTATION: https://github.com/oscarlr/MsPAC. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oscar L. Rodriguez, Anna M. Ritz, Andrew J. Sharp, Ali Bashir |
Bioinform. | 3 |