Demo Data from EDBT 2026 / reviewers in the wild / expert
I. López-Ribera
dblp:57/9108
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none
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 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › biological database
gene expression database |
0.1 | 1 | 2011 | MASISH: a database for gene expression in maize seeds · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
in situ hybridization · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | MASISH: a database for gene expression in maize seedsabstractUNLABELLED: Grass seeds are complex organs composed by multiple tissues and cell types that develop coordinately to produce a viable embryo. The identification of genes involved in seed development is of great interest, but systematic spatial analyses of gene expression on maize seeds at the cell level have not yet been performed. MASISH is an online database holding information for gene expression spatial patterns in maize seeds based on in situ hybridization experiments. The web-based query interface allows the execution of gene queries and provides hybridization images, published references and information of the analyzed genes. AVAILABILITY: http://masish.uab.cat/. Miquel Miquel, I. López-Ribera, Miquel Ràmia, Sònia Casillas, Antonio Barbadilla, Carlos M. Vicient |
Bioinform. | 2 |