RSAT Var-tools: an accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding

Santana-Garcia, W.; Rocha-Acevedo, M.; Ramirez, L.; Mbouamboua, Y.; Thieffry, D.; Thomas-Chollier, M.; Contreras-Moreira, B.; van Helden, J.; Medina-Rivera, A.

doi:10.1101/623090

bioRxiv · 10.1101/623090

RSAT Var-tools: an accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding

Santana-Garcia, W.·Rocha-Acevedo, M.·Ramirez, L.·Mbouamboua, Y.·Thieffry, D.·Thomas-Chollier, M.·Contreras-Moreira, B.·van Helden, J.·Medina-Rivera, A.

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Abstract

Gene regulatory regions contain short and degenerated DNA sites recognized by transcription factors (TFs). When such regions harbor SNPs, the DNA motifs where TFs bind may be affected, thereby altering the transcriptional regulation of the target genes. Such regulatory SNPs have been implicated as causal variants in GWAS studies. In this study, we describe the application of the programs Var-tools designed to predict regulatory variants, and present four case studies to illustrate their usage and applications. In brief, Var-tools facilitate i) obtaining variation information, ii) interconversion of variation file formats, iii) retrieval of sequences surrounding variants, and iv) calculating the change on predicted TF affinity scores between alleles, using motif scanning approaches. Notably, the tools support the analysis of haplotypes. The tools are included within the well-maintained suite Regulatory Sequence Analysis Tools (RSAT, http://rsat.eu), and accessible through a web interface that currently enables analysis of five metazoa and ten plant genomes. Vart-tools can also be used in command-line with any locally-installed Ensembl genome. Users can input personal collections of variants and motifs, providing flexibility in the analysis.

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Santana-Garcia, W., Rocha-Acevedo, M., Ramirez, L., Mbouamboua, Y., Thieffry, D., Thomas-Chollier, M., Contreras-Moreira, B., van Helden, J., Medina-Rivera, A.. 2019-04-30. RSAT Var-tools: an accessible and flexible framework to predict the impact of regulatory variants on transcription factor binding. https://doi.org/10.1101/623090

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