recipe bioconductor-soggi

Visualise ChIP-seq, MNase-seq and motif occurrence as aggregate plots Summarised Over Grouped Genomic Intervals

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/soGGi.html

License:

GPL (>= 3)

Recipe:

/bioconductor-soggi/meta.yaml

Links:

biotools: soggi, doi: 10.1038/nmeth.3252

The soGGi package provides a toolset to create genomic interval aggregate/summary plots of signal or motif occurence from BAM and bigWig files as well as PWM, rlelist, GRanges and GAlignments Bioconductor objects. soGGi allows for normalisation, transformation and arithmetic operation on and between summary plot objects as well as grouping and subsetting of plots by GRanges objects and user supplied metadata. Plots are created using the GGplot2 libary to allow user defined manipulation of the returned plot object. Coupled together, soGGi features a broad set of methods to visualise genomics data in the context of groups of genomic intervals such as genes, superenhancers and transcription factor binding events.

package bioconductor-soggi

Versions:

1.30.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.14.0-0, 

1.30.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-0,  1.16.0-1,  1.14.0-0,  1.12.0-0,  1.10.0-0,  1.8.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biocparallel >=1.32.0,<1.33.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-chipseq >=1.48.0,<1.49.0

• bioconductor-genomeinfodb >=1.34.0,<1.35.0

• bioconductor-genomicalignments >=1.34.0,<1.35.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-iranges >=2.32.0,<2.33.0

• bioconductor-preprocesscore >=1.60.0,<1.61.0

• bioconductor-rsamtools >=2.14.0,<2.15.0

• bioconductor-rtracklayer >=1.58.0,<1.59.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• r-base >=4.2,<4.3.0a0

• r-ggplot2

• r-reshape2

Required By:

• bioconductor-profileplyr

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-soggi

and update with:

conda update bioconductor-soggi

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-soggi:<tag>

(see bioconductor-soggi/tags for valid values for <tag>)

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