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DESCRIPTION
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Package: hpgltools
Type: Package
Title: A pile of (hopefully) useful R functions
Version: 1.0
Date: 2018-03-01
Author: Ashton Trey Belew, Keith Hughitt
Authors@R: c(person("Ashton", "Belew", email="[email protected]", role=c("aut","cre")),
person("Keith", "Hughitt", email="[email protected]", role=c("aut")),
person("Jerry", "Zhao", email="[email protected]", role=c("aut")))
Maintainer: Ashton Trey Belew <[email protected]>
Description: This is a set of functions I have been using in my various analyses
in the El-Sayed laboratory. The set of tasks included herein run a
spectrum from preprocessing count-tables from RNAseq-like data,
through differential expression analyses, to post-processing tasks
like gene ontology enrichment. Along the way, these function seek
to make plotting analyses consistent, provide multiple entry-points
to the various tools, and handle corner cases which are not
flexibly handled by the packages this is based upon.
License: GPL-2 | file LICENSE
Suggests:
affy, AnnotationDbi, AnnotationForge, AnnotationHub, ape,
BiocGenerics, BiocManager, biomaRt, Biostrings, bluster, broom,
BRAIN, BSgenome,
caret, Category, cleaver, clusterProfiler, corpcor, corrplot, curl,
DALEX, DBI, DEGreport, desc, DESeq2, devEMF, devtools, digest, directlabels,
doParallel, dorothea, doSNOW, dotwhisker, DSS,
EBSeq, EDASeq, edgeR, enrichplot,
fastcluster, fastICA, ffpe, fission, flashClust,
genefilter, GenomicRanges, GenomeInfoDb, genoPlotR, ggdendro,
ggrepel, ggsankey, ggstatsplot, ggthemes, goseq, GO.db, GOstats,
graph, GSVA, GSVAdata, gtools, gplots, gProfileR, gprofiler2,
Heatplus, Hmisc, Homo.sapiens, htmlwidgets, hpgldata, httr,
iDA, igraph, IHW, inflection, IRanges, isva, iterators,
jsonlite,
KEGGREST, KEGGgraph, kmer,
lattice, limma, locfit, lubridate,
MatrixGenerics, matrixStats, miscTools, motifRG, MSnbase, mygene, mzR,
networkD3, NOISeq, numform,
openxlsx, OrganismDbi,
pander, parallel, pasilla, pathfindR, pathview, pcaMethods, Peptides,
pheatmap, plyr, preprocessCore, pROC, PROPER, purrr,
qvalue,
R.utils, RColorBrewer, RCurl, readr, reactome.db, ReactomePA, readODS, readxl,
reshape2, rGADEM, Rgraphviz, rhdf5, Rhdf5lib, rjson, rmarkdown, robust,
robustbase, Rsamtools, Rtsne,
rtracklayer, ruv, RUVSeq, rvest,
scales, Seurat, seqLogo, skimr, SmartSVA, spgs, statmod, stringi,
stringr, SWATH2stats,
taxize, testthat, tibble, tidyr, tidymodels, tidyselect, topGO, tximport,
UniProt.ws, UpSetR, uwot, webp,
varhandle, variancePartition, Vennerable,
WGCNA,
xCell, xml2
Imports:
data.table, DOSE, dplyr,
forcats, foreach,
GenomicFeatures, ggplot2, glue, GSEABase,
IRanges,
knitr,
magrittr, methods,
plotly,
rlang, RSQLite,
shiny, sva,
tidyselect,
varhandle, variancePartition
Depends:
Biobase, SummarizedExperiment, S4Vectors, glue, Matrix
VignetteBuilder: knitr
ByteCompile: true
biocViews: DifferentialExpression
Encoding: UTF-8
RoxygenNote: 7.3.1
Collate:
'01_hpgltools.R'
'alt_splicing.R'
'annotation_biomart.R'
'annotation_genbank.R'
'annotation_gff.R'
'annotation_kegg.R'
'annotation_microbesonline.R'
'annotation_orgdb.R'
'annotation_txt.R'
'annotation_uniprot.R'
'annotation_shared.R'
'classify.R'
'de_shared.R'
'de_basic.R'
'de_edger.R'
'de_deseq.R'
'de_ebseq.R'
'de_limma.R'
'de_noiseq.R'
'de_plots.R'
'de_xlsx.R'
'de_varpart.R'
'dimension_reduction.R'
'expt.R'
'gene_sets.R'
'gsva.R'
'helpers_misc.R'
'metadata.R'
'model_testing.R'
'model_varpartition.R'
'motif.R'
'network.R'
'normalize_shared.R'
'normalize_filter.R'
'normalize_convert.R'
'normalize_transform.R'
'normalize_norm.R'
'normalize_batch.R'
'ontology_shared.R'
'ontology_goseq.R'
'ontology_gprofiler.R'
'ontology_gostats.R'
'ontology_topgo.R'
'ontology_clusterprofiler.R'
'ontology_plots.R'
'ontology_xlsx.R'
'ontology_kegg.R'
'pcr.R'
'peptides.R'
'phylo.R'
'plot_shared.R'
'plot_bar.R'
'plot_distribution.R'
'plot_dotplot.R'
'plot_heatmap.R'
'plot_hist.R'
'plot_point.R'
'plot_proteomics.R'
'plot_venn.R'
'plot_circos.R'
'plot_genplot.R'
'plot_misc.R'
'power_estimation.R'
'proteomics.R'
'se.R'
'sequence.R'
'shiny.R'
'singlecell.R'
'tf.R'
'tnseq.R'
'variants.R'
'xlsx.R'
'zzz_methods.R'
'zzz_print.R'
'zzz_subset.R'