Basic4Cseq: An R/Bioconductor package for analyzing 4C-seq data

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Abstract

Basic4Cseq is an R/Bioconductor package for basic filtering, analysis and subsequent near-cis visualization of 4C-seq data. The package processes aligned 4C-seq raw data stored in binary alignment/map (BAM) format and maps the short reads to a corresponding virtual fragment library. Functions are included to create virtual fragment libraries providing chromosome position and further information on 4C-seq fragments (length and uniqueness of the fragment ends, and blindness of a fragment) for any BSGenome package. An optional filter is included for BAM files to remove invalid 4C-seq reads, and further filter functions are offered for 4C-seq fragments. Additionally, basic quality controls based on the read distribution are included. Fragment data in the vicinity of the experiment's viewpoint are visualized as coverage plot based on a running median approach and a multi-scale contact profile. Wig files or csv files of the fragment data can be exported for further analyses and visualizations of interactions with other programs.

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Walter, C., Schuetzmann, D., Rosenbauer, F., & Dugas, M. (2014). Basic4Cseq: An R/Bioconductor package for analyzing 4C-seq data. Bioinformatics, 30(22), 3268–3269. https://doi.org/10.1093/bioinformatics/btu497

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