Demo Data from EDBT 2026 / reviewers in the wild / expert
Marjorie Elizabeth Osborne Locke
dblp:23/5149
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › structural variation
copy number variant analysis |
0.2 | 1 | 2013 | HD-CNV: hotspot detector for copy number variants · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
interval graph clique detection · 0.2graph visualization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | HD-CNV: hotspot detector for copy number variantsabstractSUMMARY: Copy number variants (CNVs) are a major source of genetic variation. Comparing CNVs between samples is important in elucidating their potential effects in a wide variety of biological contexts. HD-CNV (hotspot detector for copy number variants) is a tool for downstream analysis of previously identified CNV regions from multiple samples, and it detects recurrent regions by finding cliques in an interval graph generated from the input. It creates a unique graphical representation of the data, as well as summary spreadsheets and UCSC (University of California, Santa Cruz) Genome Browser track files. The interval graph, when viewed with other software or by automated graph analysis, is useful in identifying genomic regions of interest for further study. AVAILABILITY AND IMPLEMENTATION: HD-CNV is an open source Java code and is freely available, with tutorials and sample data from http://daleylab.org. CONTACT: [email protected] Jenna L. Butler, Marjorie Elizabeth Osborne Locke, Kathleen A. Hill, Mark Daley |
Bioinform. | 2 |