4.7 Article

EasyGDB: a low-maintenance and highly customizable system to develop genomics portals

Journal

BIOINFORMATICS
Volume 38, Issue 16, Pages 4048-4050

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac412

Keywords

-

Funding

  1. Junta de Andalucia Emergia program [EMERGIA20_00286]
  2. Ministerio de Ciencia e Innovacion [RYC2020-030219-I]
  3. USDA NIFA [2020-51181-32198]

Ask authors/readers for more resources

EasyGDB is an easy-to-implement and low-maintenance tool for genomic data management, specifically designed for the development of genomics portals in non-model species. It provides a range of bioinformatics tools and a modern web style, allowing users to efficiently manage and analyze genomic data.
A Summary: EasyGDB is an easy-to-implement low-maintenance tool developed to create genomic data management web platforms. It can be used for any species, group of species, or multiple genome or annotation versions. EasyGDB provides a framework to develop a web portal that includes the general information about species, projects and members, and bioinformatics tools such as file downloads, BLAST, genome browser, annotation search, gene expression visualization, annotation and sequence download, and gene ids and orthologs lookup. The code of EasyGDB facilitates data maintenance and update for non-experienced bioinformaticians, using BLAST databases to store and retrieve sequence data in gene annotation pages and bioinformatics tools, and JSON files to customize metadata. EasyGDB is a highly customizable tool. Any section and tool can be enabled or disabled like a switch through a single configuration file. This tool aims to simplify the development of genomics portals in non-model species, providing a modern web style with embedded interactive bioinformatics tools to cover all the common needs derived from genomics projects.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available