BEST

BEST analyzes spatio-temporal gene expression patterns in the human brain to investigate molecular mechanisms underlying psychiatric disorders.


Key Features:

  • Visualization: Provides heatmaps, Venn diagrams, gene co-expression networks, and cluster-based Manhattan gene plots to represent expression quantification and inter-gene correlations.
  • Integration: Integrates extensive human brain spatio-temporal expression data from multiple databases to support analyses across brain regions and developmental stages.
  • Multi-Dimensionality: Performs multi-dimensional analysis by evaluating input genes as whole sets and as co-expression-derived clusters and reporting correlations between genetic data and expression profiles.

Scientific Applications:

  • Translational genomics: Bridges disease-related genetic studies and mechanistic research to connect risk variants or gene lists with brain expression patterns.
  • Gene and pathway identification: Aids identification of key genes and molecular systems implicated in psychiatric conditions through co-expression and cluster analyses.
  • Spatio-temporal mapping: Supports investigation of brain regions and developmental stages that show differential expression relevant to mental disorders.

Methodology:

Integrates spatio-temporal expression datasets; generates heatmaps, Venn diagrams, gene co-expression networks, and cluster-based Manhattan plots; performs co-expression clustering and cluster enrichment analyses and computes correlations between genetic data and expression profiles.

Topics

Details

Added:
1/14/2020
Last Updated:
1/14/2021

Operations

Publications

Guo L, Lin W, Zhang Y, Li W, Wang J. BEST: a web server for brain expression Spatio-temporal pattern analysis. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-3222-6. PMID:31805847. PMCID:PMC6896511.

PMID: 31805847
PMCID: PMC6896511
Funding: - National Basic Research Program of China: 2015CB351702

Links