# diffloop: Identifying differential DNA loops from chromatin topology data

#### Caleb Lareau & Martin Aryee

#### 2020-10-27

    library(diffloop)
    library(diffloopdata)
    library(ggplot2)
    library(GenomicRanges)
    library(ggrepel)
    library(DESeq2)

## About

Due to the maintainer’s inability to figure out data package resubmission to Bioc, a compiled vignette is hosted here.

## Notes on Data

All data used in these analyses were processed from GEO and are contained in the `diffloopdata` package. Please feel free to contact Caleb (the maintainer) with any questions concerning the data or this workflow. The diffloopdata package is available here

## Session info

    sessionInfo()

    ## R version 4.0.3 (2020-10-10)
    ## Platform: x86_64-w64-mingw32/x64 (64-bit)
    ## Running under: Windows Server 2012 R2 x64 (build 9600)
    ##
    ## Matrix products: default
    ##
    ## locale:
    ## [1] LC_COLLATE=C
    ## [2] LC_CTYPE=English_United States.1252
    ## [3] LC_MONETARY=English_United States.1252
    ## [4] LC_NUMERIC=C
    ## [5] LC_TIME=English_United States.1252
    ##
    ## attached base packages:
    ## [1] parallel  stats4    stats     graphics  grDevices utils     datasets
    ## [8] methods   base
    ##
    ## other attached packages:
    ##  [1] DESeq2_1.30.0               SummarizedExperiment_1.20.0
    ##  [3] Biobase_2.50.0              MatrixGenerics_1.2.0
    ##  [5] matrixStats_0.57.0          ggrepel_0.8.2
    ##  [7] GenomicRanges_1.42.0        GenomeInfoDb_1.26.0
    ##  [9] IRanges_2.24.0              S4Vectors_0.28.0
    ## [11] BiocGenerics_0.36.0         ggplot2_3.3.2
    ## [13] diffloopdata_1.17.0         diffloop_1.18.0
    ##
    ## loaded via a namespace (and not attached):
    ##  [1] bitops_1.0-6             bit64_4.0.5              RColorBrewer_1.1-2
    ##  [4] progress_1.2.2           httr_1.4.2               tools_4.0.3
    ##  [7] R6_2.4.1                 DBI_1.1.0                colorspace_1.4-1
    ## [10] withr_2.3.0              tidyselect_1.1.0         prettyunits_1.1.1
    ## [13] bit_4.0.4                curl_4.3                 compiler_4.0.3
    ## [16] xml2_1.3.2               DelayedArray_0.16.0      rtracklayer_1.50.0
    ## [19] scales_1.1.1             readr_1.4.0              genefilter_1.72.0
    ## [22] pbapply_1.4-3            askpass_1.1              rappdirs_0.3.1
    ## [25] stringr_1.4.0            digest_0.6.27            Rsamtools_2.6.0
    ## [28] rmarkdown_2.5            XVector_0.30.0           pkgconfig_2.0.3
    ## [31] htmltools_0.5.0          dbplyr_1.4.4             limma_3.46.0
    ## [34] rlang_0.4.8              RSQLite_2.2.1            generics_0.0.2
    ## [37] zoo_1.8-8                BiocParallel_1.24.0      dplyr_1.0.2
    ## [40] RCurl_1.98-1.2           magrittr_1.5             Sushi_1.28.0
    ## [43] GenomeInfoDbData_1.2.4   Matrix_1.2-18            Rcpp_1.0.5
    ## [46] munsell_0.5.0            lifecycle_0.2.0          stringi_1.5.3
    ## [49] yaml_2.2.1               edgeR_3.32.0             zlibbioc_1.36.0
    ## [52] plyr_1.8.6               BiocFileCache_1.14.0     grid_4.0.3
    ## [55] blob_1.2.1               crayon_1.3.4             lattice_0.20-41
    ## [58] splines_4.0.3            Biostrings_2.58.0        annotate_1.68.0
    ## [61] hms_0.5.3                locfit_1.5-9.4           knitr_1.30
    ## [64] pillar_1.4.6             geneplotter_1.68.0       reshape2_1.4.4
    ## [67] codetools_0.2-16         biomaRt_2.46.0           XML_3.99-0.5
    ## [70] glue_1.4.2               evaluate_0.14            data.table_1.13.2
    ## [73] vctrs_0.3.4              foreach_1.5.1            gtable_0.3.0
    ## [76] openssl_1.4.3            purrr_0.3.4              assertthat_0.2.1
    ## [79] xfun_0.18                xtable_1.8-4             survival_3.2-7
    ## [82] tibble_3.0.4             iterators_1.0.13         GenomicAlignments_1.26.0
    ## [85] AnnotationDbi_1.52.0     memoise_1.1.0            statmod_1.4.35
    ## [88] ellipsis_0.3.1

## Citations

\(^1\)Hnisz, Denes, et al. “Activation of proto-oncogenes by disruption of chromosome neighborhoods.” Science (2016).
\(^2\)Ji, Xiong, et al. “3D Chromosome Regulatory Landscape of Human Pluripotent Cells.” Cell stem cell (2015).
\(^3\)Phanstiel, D, et al. “Mango: A bias correcting ChIA-PET analysis pipeline.” Bioinformatics (2015).
\(^4\)Robinson, M, et al. “edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.” Bioinformatics (2010).
\(^5\)Law, C, et al. “Voom: precision weights unlock linear model analysis tools for RNA-seq read counts.” Genome Biology (2014).