Demo Data from VLDB 2026 / reviewers in the wild / expert
Dashiell J. Massey
dblp:339/7493
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0002-8645-8949ORCID · reported
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › cancer genomics
copy number analysis |
0.5 | 1 | 2021 | TIGER: inferring DNA replication timing from whole-genome sequence data · Bioinform. 2021 |
Bioinformatics and computational biology
genomics |
0.5 | 1 | 2021 | TIGER: inferring DNA replication timing from whole-genome sequence data · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
computational inference from whole-genome sequencing · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | TIGER: inferring DNA replication timing from whole-genome sequence dataabstractMOTIVATION: Genomic DNA replicates according to a reproducible spatiotemporal program, with some loci replicating early in S phase while others replicate late. Despite being a central cellular process, DNA replication timing studies have been limited in scale due to technical challenges. RESULTS: We present TIGER (Timing Inferred from Genome Replication), a computational approach for extracting DNA replication timing information from whole genome sequence data obtained from proliferating cell samples. The presence of replicating cells in a biological specimen leads to non-uniform representation of genomic DNA that depends on the timing of replication of different genomic loci. Replication dynamics can hence be observed in genome sequence data by analyzing DNA copy number along chromosomes while accounting for other sources of sequence coverage variation. TIGER is applicable to any species with a contiguous genome assembly and rivals the quality of experimental measurements of DNA replication timing. It provides a straightforward approach for measuring replication timing and can readily be applied at scale. AVAILABILITY AND IMPLEMENTATION: TIGER is available at https://github.com/TheKorenLab/TIGER. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Amnon Koren, Dashiell J. Massey, Alexa N. Bracci |
Bioinform. | 2 |