4.3 Article

Strongyloides RNA-seq Browser: a web-based software platform for on-demand bioinformatics analyses of Strongyloides species

Journal

G3-GENES GENOMES GENETICS
Volume 11, Issue 5, Pages -

Publisher

OXFORD UNIV PRESS INC
DOI: 10.1093/g3journal/jkab104

Keywords

Strongyloides; parasitic nematodes; differential gene expression; functional enrichment

Funding

  1. A.P. Giannini Postdoctoral Fellowship
  2. Burroughs-Wellcome Fund Investigators in the Pathogenesis of Disease Award
  3. Howard Hughes Medical Institute Faculty Scholar Award
  4. National Institutes of Health [R01 AI136976, R01 DC017959]

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Approximately 1 billion people worldwide are infected with soil-transmitted gastrointestinal parasitic nematodes, with skin-penetrating Strongyloides nematodes emerging as model organisms for research. To facilitate genomics studies of Strongyloides species, a web-based application called the Strongyloides RNA-seq Browser has been developed to provide an open source portal for accessing and analyzing genomic expression data.
Soil-transmitted gastrointestinal parasitic nematodes infect approximately 1 billion people worldwide, predominantly in low-resource communities. Skin-penetrating gastrointestinal nematodes in the genus Strongyloides are emerging as model systems for mechanistic studies of soil-transmitted helminths due to the growing availability of functional genomics tools for these species. To facilitate future genomics studies of Strongyloides species, we have designed a web-based application, the Strongyloides RNA-seq Browser, that provides an open source, user-friendly portal for accessing and analyzing Strongyloides genomic expression data. Specifically, the Strongyloides RNA-seq Browser takes advantage of alignment-free read mapping tools and R-based transcriptomics tools to re-analyze publicly available RNA sequencing datasets from four Strongyloides species: Strongyloides stercoralis, Strongyloides ratti, Strongyloides papillosus, and Strongyloides venezuelensis. This application permits on-demand exploration and quantification of gene expression across life stages without requiring previous coding experience. Here, we describe this interactive application and demonstrate how it may be used by nematode researchers to conduct a standard set of bioinformatics queries.

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