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.
Links
Repository
https://github.com/GuoLiyuan-github/BEST