Demo Data from EDBT 2026 / reviewers in the wild / expert
Patricia Gassó
dblp:212/0340
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0001-6930-3454ORCID · reported
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.3 | 1 | 2018 | SiNoPsis: Single Nucleotide Polymorphisms selection and promoter profiling · Bioinform. 2018 |
Bioinformatics and computational biology › statistical genetics › single nucleotide polymorphism analysis
SNP selection |
0.3 | 1 | 2018 | SiNoPsis: Single Nucleotide Polymorphisms selection and promoter profiling · Bioinform. 2018 |
Bioinformatics and computational biology › population genetics
linkage disequilibrium |
0.1 | 1 | 2018 | SiNoPsis: Single Nucleotide Polymorphisms selection and promoter profiling · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
visualization · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | SiNoPsis: Single Nucleotide Polymorphisms selection and promoter profilingabstractMOTIVATION: The selection of a single nucleotide polymorphism (SNP) using bibliographic methods can be a very time-consuming task. Moreover, a SNP selected in this way may not be easily visualized in its genomic context by a standard user hoping to correlate it with other valuable information. Here we propose a web form built on top of Circos that can assist SNP-centered screening, based on their location in the genome and the regulatory modules they can disrupt. Its use may allow researchers to prioritize SNPs in genotyping and disease studies. RESULTS: SiNoPsis is bundled as a web portal. It focuses on the different structures involved in the genomic expression of a gene, especially those found in the core promoter upstream region. These structures include transcription factor binding sites (for promoter and enhancer signals), histones and promoter flanking regions. Additionally, the tool provides eQTL and linkage disequilibrium (LD) properties for a given SNP query, yielding further clues about other indirectly associated SNPs. Possible disruptions of the aforementioned structures affecting gene transcription are reported using multiple resource databases. SiNoPsis has a simple user-friendly interface, which allows single queries by gene symbol, genomic coordinates, Ensembl gene identifiers, RefSeq transcript identifiers and SNPs. It is the only portal providing useful SNP selection based on regulatory modules and LD with functional variants in both textual and graphic modes (by properly defining the arguments and parameters needed to run Circos). AVAILABILITY AND IMPLEMENTATION: SiNoPsis is freely available at https://compgen.bio.ub.edu/SiNoPsis/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Daniel Boloc, Natalia Rodríguez, Patricia Gassó, Josep F. Abril, Miquel Bernardo, Amalia Lafuente, Sergi Mas |
Bioinform. | 3 |