Paper Info
Title
GEMMER: GEnome-wide tool for Multi-scale Modeling data Extraction and Representation for Saccharomyces cerevisiae.
Abstract
Motivation: Multi-scale modeling of biological systems requires integration of various information about genes and proteins that are connected together in networks. Spatial, temporal and functional information is available; however, it is still a challenge to retrieve and explore this knowledge in an integrated, quick and user-friendly manner. Results: We present GEMMER (GEnome-wide tool for Multi-scale Modeling data Extraction and Representation), a web-based data-integration tool that facilitates high quality visualization of physical, regulatory and genetic interactions between proteins/genes in Saccharomyces cerevisiae. GEMMER creates network visualizations that integrate information on function, temporal expression, localization and abundance from various existing databases. GEMMER supports modeling efforts by effortlessly gathering this information and providing convenient export options for images and their underlying data.
Year
DOI
Venue
2018
10.1093/bioinformatics/bty052
BIOINFORMATICS
Field
DocType
Volume
Genome,Data mining,Data modeling,JavaScript library,Visualization,Computer science,Source code,Data extraction,JSON,Python (programming language)
Journal
34
Issue
ISSN
Citations 
12
1367-4803
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Thierry D. G. A Mondeel100.34
Frédéric Crémazy200.34
Matteo Barberis3314.05