Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

AgriSeqDB

General information

URL: https://expression.latrobe.edu.au/agriseqdb
Full name: La Trobe Agricultural RNA-seq Database
Description: La Trobe Agricultural RNA-seq Database contains a collection of RNA-seq experiments from researchers at La Trobe as well as national and international researchers.
Year founded: 2018
Last update:
Version:
Accessibility:
Accessible
Country/Region: Australia

Contact information

University/Institution: La Trobe University
Address: Department of Animal, Plant and Soil Sciences, School of Life Sciences, La Trobe University, Melbourne, Australia.
City: Melbourne
Province/State:
Country/Region: Australia
Contact name (PI/Team): Lewsey MG
Contact email (PI/Helpdesk): m.lewsey@latrobe.edu.au

Publications

30231853
AgriSeqDB: an online RNA-Seq database for functional studies of agriculturally relevant plant species. [PMID: 30231853]
Robinson AJ, Tamiru M, Salby R, Bolitho C, Williams A, Huggard S, Fisch E, Unsworth K, Whelan J, Lewsey MG.

BACKGROUND: The genome-wide expression profile of genes in different tissues/cell types and developmental stages is a vital component of many functional genomic studies. Transcriptome data obtained by RNA-sequencing (RNA-Seq) is often deposited in public databases that are made available via data portals. Data visualization is one of the first steps in assessment and hypothesis generation. However, these databases do not typically include visualization tools and establishing one is not trivial for users who are not computational experts. This, as well as the various formats in which data is commonly deposited, makes the processes of data access, sharing and utility more difficult. Our goal was to provide a simple and user-friendly repository that meets these needs for data-sets from major agricultural crops.
DESCRIPTION: AgriSeqDB ( https://expression.latrobe.edu.au/agriseqdb ) is a database for viewing, analysing and interpreting developmental and tissue/cell-specific transcriptome data from several species, including major agricultural crops such as wheat, rice, maize, barley and tomato. The disparate manner in which public transcriptome data is often warehoused and the challenge of visualizing raw data are both major hurdles to data reuse. The popular eFP browser does an excellent job of presenting transcriptome data in an easily interpretable view, but previous implementation has been mostly on a case-by-case basis. Here we present an integrated visualisation database of transcriptome data-sets from six species that did not previously have public-facing visualisations. We combine the eFP browser, for gene-by-gene investigation, with the Degust browser, which enables visualisation of all transcripts across multiple samples. The two visualisation interfaces launch from the same point, enabling users to easily switch between analysis modes. The tools allow users, even those without bioinformatics expertise, to mine into data-sets and understand the behaviour of transcripts of interest across samples and time. We have also incorporated an additional graphic download option to simplify incorporation into presentations or publications.
CONCLUSION: Powered by eFP and Degust browsers, AgriSeqDB is a quick and easy-to-use platform for data analysis and visualization in five crops and Arabidopsis. Furthermore, it provides a tool that makes it easy for researchers to share their data-sets, promoting research collaborations and data-set reuse.

BMC Plant Biol. 2018:18(1) | 11 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
4529/6895 (34.329%)
Expression:
927/1347 (31.255%)
4529
Total Rank
11
Citations
1.571
z-index

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Record metadata

Created on: 2019-01-03
Curated by:
Dong Zou [2019-01-09]
Dong Zou [2019-01-03]