Protist Guru

Protist Guru integrates visualization and analysis of gene expression data from 15 protist species to investigate molecular functions and pathways in microbial eukaryotes.


Key Features:

  • Functional Co-expression Networks: Identification and analysis of functional co-expression networks among protist genes to infer gene interactions and cellular functions.
  • Gene Family Identification: Detection of gene families to explore evolutionary relationships and functional similarities across protist species.
  • Enriched Gene Cluster Analysis: Analysis of enriched gene clusters to pinpoint genes involved in specific biological pathways or processes, including secondary carotenoid biosynthesis in Haematococcus lacustris.
  • Multi-species Gene Expression Compendium: Curated gene expression data assembled from 15 distinct protist species with associated sample annotations.
  • Visualization and Analysis of Expression Data: Tools for visualizing and analyzing gene expression profiles and network relationships within and across protist species.

Scientific Applications:

  • Pathway Elucidation: Reveals genes and co-expression modules involved in biochemical and physiological pathways in protists.
  • Microbial Ecology Insights: Links gene expression patterns to ecological functions of protists, informing studies of their roles in ecosystems.
  • Discovery of Biosynthetic Processes: Facilitates identification of gene sets and networks underlying specific processes such as secondary carotenoid synthesis in Haematococcus lacustris.

Methodology:

The resource is built on curated gene expression data; co-expression networks were generated and sample annotations are provided.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
2/7/2022
Last Updated:
2/7/2022

Operations

Publications

Villanueva EMF, Lim PK, Lim JJJ, Lim SC, Lau PY, Koh KTS, Tan E, Kairon RS, See WA, Liao JX, Hee KM, Vijay V, Maitra I, Boon CJ, Fo K, Wang YT, Jaya R, Hew LA, Lim YY, Lee WQ, Lee ZQ, Foo H, Lopes dos Santos A, Mutwil M. Protist.guru: a comparative transcriptomics database for the protist kingdom. Unknown Journal. 2021. doi:10.1101/2021.08.04.455173.