Histone

Gene

Linguistics

Philosophy

Biology

Transcription (linguistics)

R package

Computer science

DNA methylation

Computational biology

Software

Genetics

Chromatin

Transcription factor

Programming language

Gene expression

Bioconductor

Bioinformatics

Summary Proteins binding to specific nucleotide sequences, such as transcription factors, play key roles in the regulation of gene expression. Their binding can be indirectly observed via associated changes in transcription, chromatin accessibility, DNA methylation and histone modifications. Identifying candidate factors that are responsible for these observed experimental changes is critical to understand the underlying biological processes. Here, we present monaLisa, an R/Bioconductor package that implements approaches to identify relevant transcription factors from experimental data. The package can be easily integrated with other Bioconductor packages and enables seamless motif analyses without any software dependencies outside of R. Availability and implementation monaLisa is implemented in R and available on Bioconductor at https://bioconductor.org/packages/monaLisa with the development version hosted on GitHub at https://github.com/fmicompbio/monaLisa. Supplementary information Supplementary data are available at Bioinformatics online.

monaLisa: an R/Bioconductor package for identifying regulatory motifs