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DESCRIPTION
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Package: ChIPbinner
Title: Analysis of ChIP-Seq or CUT&RUN/TAG data in binned windows for broad histone marks
Version: 0.99.2
Authors@R:
c(person(given="Reinnier",family="Padilla",email="reinnier.padilla@mail.mcgill.ca", role = c("aut","cre"),
comment = c(ORCID = "0009-0005-5646-5450")),
person(given="Eric", family="Bareke", email="eric.bareke@mcgill.ca", role="ctb"),
person(given="Bo", family="Hu", email="frank.hu@mail.mcgill.ca", role="ctb"),
person(given="Jacek", family="Majewski", email="jacek.majewski@mcgill.ca", role=c("aut", "ctb")))
Description: A suite of tools for analyzing ChIP-Seq or CUT&RUN/TAG data that has been binned in uniform windows.
ChIPbinner provides users with functionalities for signal normalization and combining replicates,
alongside visualization tools for exploratory analysis, including genic/intergenic scatterplots, principal component analysis and correlation plots.
Finally, it allows users to identify clusters of similarly-behaving bins, perform differential bin analysis and statistically assess their overlap with specific classes of annotated regions.
License: GPL (>= 3) + file LICENSE
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Imports:
ggplot2,
dplyr,
GenomicRanges,
IRanges,
rtracklayer,
data.table,
patchwork,
isoband,
hexbin,
pals,
MASS,
sf,
reticulate,
LOLA,
readr,
SummarizedExperiment,
DESeq2,
edgeR,
purrr,
ROTS
Suggests:
knitr,
formatR,
rmarkdown,
testthat (>= 3.0.0),
highcharter,
reshape2,
scales,
tibble,
DiffBind,
gridExtra,
idr2d,
lattice,
lwgeom,
matrixStats,
tidyverse,
ggrepel,
ggrastr,
GenomeInfoDb,
tools,
forcats,
gplots,
stringr
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/testthat/start-first: norm_bw,genic_intergenic_scatterplot,pre_clust,generate_clust,annotate_clust,density_based_scatterplot,enrich_clust
Collate:
'ChIPbinner-package.R'
'norm_bw.R'
'pre_clust.R'
'generate_clust.R'
'annotate_clust.R'
'apply_normFactors.R'
'density_based_scatterplot.R'
'differentialBinAnalysis.R'
'enrich_clust.R'
'filter_low_counts.R'
'genic_intergenic_scatterplot.R'
'merge_norm_bw.R'
'plot_PCA.R'
'plot_correlation.R'
Depends:
R (>= 3.5.0)
biocViews:
ChIPSeq,
Epigenetics,
HistoneModification,
GenomeAnnotation,
Normalization,
Clustering,
PrincipalComponent,
Visualization,
Software