EDBT 2026 Demo / reviewers in the wild / expert
Mina Zarei
dblp:71/11538
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Applied, 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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
gene expression |
0.1 | 1 | 2012 | NuST: analysis of the interplay between nucleoid organization and gene expression · Bioinform. 2012 |
Bioinformatics and computational biology › genomics
genome organization |
0.0 | 1 | 2012 | NuST: analysis of the interplay between nucleoid organization and gene expression · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
statistical correlation analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Frequency-dependent organization of the brain's functional network through delayed-interactions
Abolfazl Ziaeemehr, Mina Zarei, Alireza Valizadeh, Claudio R. Mirasso |
Neural Networks | 2 |
| 2012 | NuST: analysis of the interplay between nucleoid organization and gene expressionabstractUNLABELLED: Different experimental results suggest the presence of an interplay between global transcriptional regulation and chromosome spatial organization in bacteria. The identification and clear visualization of spatial clusters of contiguous genes targeted by specific DNA-binding proteins or sensitive to nucleoid perturbations can elucidate links between nucleoid structure and gene expression patterns. Similarly, statistical analysis to assess correlations between results from independent experiments can provide the integrated analysis needed in this line of research. NuST (Nucleoid Survey tools), based on the Escherichia coli genome, gives the non-expert the possibility to analyze the aggregation of genes or loci sets along the genome coordinate, at different scales of observation. It is useful to discover correlations between different sources of data (e.g. expression, binding or genomic data) and genome organization. A user can use it on datasets in the form of gene lists coming from his/her own experiments or bioinformatic analyses, but also make use of the internal database, which collects data from many published studies. AVAILABILITY AND IMPLEMENTATION: NuST is a web server (available at http://www.lgm.upmc.fr/nust/). The website is implemented in PHP, SQLite and Ajax, with all major browsers supported, while the core algorithms are optimized and implemented in C. NuST has an extensive help page and provides a direct visualization of results as well as different downloadable file formats. A template Perl code for automated access to the web server can be downloaded at http://www.lgm.upmc.fr/nust/downloads/, in order to allow the users to use NuST in systematic bioinformatic analyses. Vittore F. Scolari, Mina Zarei, Matteo Osella, Marco Cosentino Lagomarsino |
Bioinform. | 2 |