Abstract

The number of publicly available parasitic worm genome sequences has increased dramatically in the past three years, and research interest in helminth functional genomics is now quickly gathering pace in response to the foundation that has been laid by these collective efforts. A systematic approach to the organisation, curation, analysis and presentation of these data is clearly vital for maximising the utility of these data to researchers. We have developed a portal called WormBase ParaSite (http://parasite.wormbase.org) for interrogating helminth genomes on a large scale. Data from over 100 nematode and platyhelminth species are integrated, adding value by way of systematic and consistent functional annotation (e.g. protein domains and Gene Ontology terms), gene expression analysis (e.g. alignment of life-stage specific transcriptome data sets), and comparative analysis (e.g. orthologues and paralogues). We provide several ways of exploring the data, including genome browsers, genome and gene summary pages, text search, sequence search, a query wizard, bulk downloads, and programmatic interfaces. In this review, we provide an overview of the back-end infrastructure and analysis behind WormBase ParaSite, and the displays and tools available to users for interrogating helminth genomic data.

Keywords

BiologyGenomeGenomicsComputational biologyFunctional genomicsGenome projectAnnotationData scienceGeneGeneticsComputer science

MeSH Terms

AnimalsComputational BiologyDatabasesGeneticGenomeHelminthGenomicsHelminths

Affiliated Institutions

Related Publications

Publication Info

Year
2016
Type
article
Volume
215
Pages
2-10
Citations
773
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

773
OpenAlex
61
Influential
653
CrossRef

Cite This

Kevin Howe, Bruce J. Bolt, Myriam Shafie et al. (2016). WormBase ParaSite − a comprehensive resource for helminth genomics. Molecular and Biochemical Parasitology , 215 , 2-10. https://doi.org/10.1016/j.molbiopara.2016.11.005

Identifiers

DOI
10.1016/j.molbiopara.2016.11.005
PMID
27899279
PMCID
PMC5486357

Data Quality

Data completeness: 90%