Demo Data from EDBT 2026 / reviewers in the wild / expert
Benjamin Solomon
dblp:265/4160
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-3059-5730ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 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 › genomics
genomic variant analysis |
0.5 | 1 | 2021 | Custom workflows to improve joint variant calling from multiple related tumour samples: FreeBayesSomatic and Strelka2Pass · Bioinform. 2021 |
Bioinformatics and computational biology › cancer genomics › somatic mutation analysis
somatic mutation detection |
0.5 | 1 | 2021 | Custom workflows to improve joint variant calling from multiple related tumour samples: FreeBayesSomatic and Strelka2Pass · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
workflow orchestration · 0.5strelka2 · 0.5freebayes · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Custom workflows to improve joint variant calling from multiple related tumour samples: FreeBayesSomatic and Strelka2PassabstractSUMMARY: This work describes two novel workflows for variant calling that extend the widely used algorithms of Strelka2 and FreeBayes to call somatic mutations from multiple related tumour samples and one matched normal sample. We show that these workflows offer higher precision and recall than their single tumour-normal pair equivalents in both simulated and clinical sequencing data. AVAILABILITY AND IMPLEMENTATION: Source code freely available at the following link: https://atlassian.petermac.org.au/bitbucket/projects/DAW/repos/multisamplevariantcalling and executable through Janis (https://github.com/PMCC-BioinformaticsCore/janis) under the GPLv3 licence. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Sebastian Hollizeck, Stephen Q. Wong, Benjamin Solomon, Dineika Chandrananda, Sarah-Jane Dawson |
Bioinform. | 3 |
| 2019 | An Evaluation of an Artificial Intelligence Clinical Trial Matching System in Australian Lung Cancer Patients
Marliese Alexander, Benjamin Solomon, David Ball, Mimi Sheerin, Irene Dankwa-Mullan, Gretchen Purcell Jackson, Dishan M. Herath |
AMIA | 2 |