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Determining the Likelihood of Variant Pathogenicity Using Amino Acid-level Signal-to-Noise Analysis of Genetic Variation

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Published on: January 16, 2019

EuPathDB: the eukaryotic pathogen genomics database resource.

Cristina Aurrecoechea¹, Ana Barreto^2,3, Evelina Y Basenko¹

¹Center for Tropical & Emerging Global Diseases, University of Georgia, Athens, GA 30602, USA.

Nucleic Acids Research

|December 2, 2016

Summary

This summary is machine-generated.

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB) offers extensive genomic and functional genomic data for over 170 eukaryotic pathogens. It provides new analysis tools and features for comprehensive data mining and private data integration.

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Area of Science:

Bioinformatics
Genomics
Computational Biology

Background:

The Eukaryotic Pathogen Genomics Database Resource (EuPathDB) aggregates data for numerous eukaryotic pathogens, including protists and fungi.
It aims to facilitate the discovery of biological relationships through integrated data mining tools.

Purpose of the Study:

To update and expand the EuPathDB resource with new analysis tools, features, and data types.
To enhance data accessibility and analysis capabilities for researchers studying eukaryotic pathogens.

Main Methods:

Utilizing standardized analysis workflows for gene orthology profiling across diverse datasets.
Integrating new data types such as metabolic pathways, compounds, and transcriptomics.
Developing new features including an online workspace and a EuPathDB Galaxy instance for private data analysis.

Main Results:

EuPathDB now covers 170+ eukaryotic pathogens and related species, with expanded genomic and functional genomic data.
New analysis tools include GO, metabolic pathway, and word enrichment analyses.
Enhanced features include redesigned gene pages, integration of alternative transcripts, and private analysis workspaces.

Conclusions:

EuPathDB provides a comprehensive and continually updated platform for eukaryotic pathogen genomics research.
The resource facilitates comparative genomics and the exploration of host-pathogen interactions through advanced data mining tools.