Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Mina Zarei

dblp:71/11538 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
gene expression
0.112012
NuST: analysis of the interplay between nucleoid organization and gene expression · Bioinform. 2012
Bioinformatics and computational biology › genomics
genome organization
0.012012
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
YearPublicationVenuePosition
2020 Frequency-dependent organization of the brain's functional network through delayed-interactions
Abolfazl Ziaeemehr, Mina Zarei, Alireza Valizadeh, Claudio R. Mirasso
Neural Networks2
2012 NuST: analysis of the interplay between nucleoid organization and gene expression
abstract
UNLABELLED: 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