From: PIVOT: platform for interactive analysis and visualization of transcriptomics data
PIVOT Modules | Tools Integrated |
---|---|
Normalization | DESeq, Modified DESeq, TMM, Upper quartile, CPM/RPKM/TPM, RUV, Spike-in regression, Census |
Feature/Sample Filtering | List based, Expression based and Quality based filters |
Basic Analysis Modules | Data distribution plots, Dispersion analysis, Rank-frequency plot, Spike-in analysis, Feature heatmap, etc. |
Differential Expression | DESeq2, edgeR, SCDE, Monocle, Mann-Whitney U test |
Clustering/Classification | Hierarchical, K-means, SC3, Community detection, Classification with caret, Cell state ordering with Monocle2/Diffusion pseudotime |
Dimension Reduction | PCA, t-SNE, Metric/Non-Metric MDS, penalized LDA, Diffusion Map |
Correlation Analysis | Pairwise scatter plots, Sample/feature correlation heatmap, Co-expression analysis |
Gene Set Enrichment Analysis | KEGG pathway analysis, Gene ontology analysis |
Network Analysis | STRING protein association network, Regnetwork visualization, Mogrify based trans-differentiation factor prediction |
Other Utilities | Data map, Gene ID/Name conversion, BioMart gene annotation query, Venn diagram, Report generation, State saving |