Demo Data from EDBT 2026 / reviewers in the wild / expert
Laura Seaman
dblp:211/6405
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2018
0000-0001-9111-9776ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 › genomics
genome organization |
0.3 | 1 | 2018 | 4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilities · Bioinform. 2018 |
Bioinformatics and computational biology › epigenomics
hi-c data analysis |
0.3 | 1 | 2018 | 4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilities · Bioinform. 2018 |
Bioinformatics and computational biology › gene expression analysis
time series gene expression |
0.1 | 1 | 2018 | 4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilities · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
hi-c normalization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | 4D nucleome Analysis Toolbox: analysis of Hi-C data with abnormal karyotype and time series capabilitiesabstractMotivation: The availability of powerful analysis tools will further understanding of genome organization and its relationship to phenotype in dynamical settings. Results: The 4D Nucleome Analysis Toolbox (NAT) is a user-friendly and powerful MATLAB toolbox for time series analysis of genome-wide chromosome conformation capture (Hi-C) data and gene expression (RNA-seq). NAT can load and normalize data, define topologically associating domains, analyse translocations, produce visualization, and study time course data. We provide examples that include time series data sets and karyotypically abnormal cell lines demonstrating the flexibility of NAT. Availability and implementation: https://github.com/laseaman/4D_Nucleome_Analysis_Toolbox. Contact: [email protected]. Laura Seaman, Indika Rajapakse |
Bioinform. | 1 |