Demo Data from EDBT 2026 / reviewers in the wild / expert
Yoshua Wakeham
dblp:226/4873
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 › gene expression analysis › gene expression data mining
gene expression data exploration |
0.3 | 1 | 2018 | Building online genomics applications using BioPyramid · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
python pyramid framework · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Building online genomics applications using BioPyramidabstractSummary: BioPyramid is a Python package, which serves as a scaffold for building an online application for the exploration of gene expression data. It is designed for bioinformaticians wishing to quickly share transformed data and interactive analyses with collaborators. Current R-based tools similarly address the need to quickly share 'omics'-data in an exploratory format, but these are generally small-scale, single-dataset solutions. Biopyramid is written in Python pyramid framework and scalable to address longer-term or more complex projects. It contains a number of components designed to reduce the time and effort in building such an application from scratch, including gene annotation, dataset models and visualization tools. Availability and implementation: Freely available at http://github.com/jarny/biopyramid. Implemented in python and javascript. Liam Stephenson, Yoshua Wakeham, Nick Seidenman, Jarny Choi |
Bioinform. | 2 |