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EchinoDB: an update to the web-based application for genomic and transcriptomic data on echinoderms
Varnika Mittal1, Robert W Reid2, Denis Jacob Machado2
1Department of Bioinformatics and Genomics, College of Computing and Informatics, University of North Carolina at Charlotte, 9331 Robert D. Snyder Rd, Charlotte, NC, 28223, USA. vmittal@uncc.edu.
EchinoDB v2.0 offers updated genomic and transcriptomic data for echinoderms, enhancing research in phylogenetics and developmental biology. This new version includes new datasets and cloud-based accessibility for broader scientific discovery.
Area of Science:
- Genomics
- Developmental Biology
- Echinoderm Research
Background:
- EchinoDB is a database for echinoderm genomic and transcriptomic data.
- The initial version contained 749,397 orthologous and paralogous transcripts.
- It was first released in 2016 and implemented in GO on a local server.
Purpose of the Study:
- To release an updated version of EchinoDB (v2.0) with enhanced features and data.
- To provide researchers with improved access to echinoderm genomic and transcriptomic information.
- To facilitate research in areas such as phylogenetics, developmental biology, and regeneration.
Main Methods:
- Incorporated new RNA-Seq data for Ophioderma brevispinum and genomic assembly data for Lytechinus variegatus.
- Enabled keyword searches for annotated data and updated SequenceServer for Basic Local Alignment Search Tool (BLAST) searches.
- Re-implemented the database using R Shiny and migrated to a cloud-based infrastructure for improved reliability and scalability.
Main Results:
- EchinoDB v2.0 now includes comprehensive genomic and transcriptomic data for key echinoderm species.
- Enhanced search functionalities (keyword and BLAST) and data download in FASTA format are available.
- The database runs on a cloud platform, ensuring better accessibility and performance.
Conclusions:
- EchinoDB v2.0 supports diverse research fields including phylogenetics, developmental biology, genomics, physiology, neurobiology, and regeneration.
- The database aids in studying signaling pathways in tissue regeneration and the conservation of echinoderm-specific proteins.
- It enables investigation into the presence of biomineralization proteins and tensilin across the echinoderm phylum.
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