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Fig. 1 | BMC Bioinformatics

Fig. 1

From: TFTenricher: a python toolbox for annotation enrichment analysis of transcription factor target genes

Fig. 1

TFTenricher functionality. a Flowchart of the TFTenricher approach. A set of TFs are taken as input, which then by default are mapped to target genes using a pre-compiled TF-target coexpression matrix. The user can also use custom-built TF-target mapping functions. Next, the target genes are annotated with GO (default), KEGG, REACTOME, or diseases using the GWAS catalog. The user can also provide a custom gene set for overlap calculations. b A typical output of the TFTenricher in terms of GO enrichments, here when applied to multiple sclerosis-associated TFs (as found in Additional file 2)

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BMC Bioinformatics

ISSN: 1471-2105

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