HiContactsData is a companion data package giving programmatic access to
several processed Hi-C files for demonstration, such as cool, mcool and
pairs files. It is meant to be used with HiContacts
.
library(HiContactsData)
The only function provided by HiContactsData package is HiContactsData()
.
Several files are avaible using this function, namely:
sample
: yeast_wt
, format
= cool
)sample
: yeast_wt
, format
= mcool
)sample
: yeast_wt
, format
= pairs
)sample
: yeast_Eco1
, format
= mcool
)sample
: yeast_Eco1
, format
= pairs
)sample
: mESCs
, format
= mcool
)sample
: mESCs
, format
= pairs
)Yeast data comes from Bastie, Chapard et al., Nature Structural & Molecular Biology 2022 and mouse ESC data comes from Bonev et al., Cell 2017.
To download one of these files, one can specify a sample
and a file format
:
cool_file <- HiContactsData()
#> Available files:
#> sample format genome condition notes
#> 1 yeast_wt cool S288C wild-type cool file @ resolution of 1kb
#> 2 yeast_wt mcool S288C wild-type multi-res mcool file
#> 3 yeast_wt pairs.gz S288C wild-type only pairs from chrII are provided
#> 4 yeast_eco1 mcool S288C Eco1-AID+IAA multi-res mcool file
#> 5 yeast_eco1 pairs.gz S288C Eco1-AID+IAA only pairs from chrII are provided
#> 6 mESCs mcool mm10 mESCs multi-res mcool file
#> 7 mESCs pairs.gz mm10 mESCs only pairs from chr13 are provided
#> EHID
#> 1 EH7701
#> 2 EH7702
#> 3 EH7703
#> 4 EH7704
#> 5 EH7705
#> 6 EH7706
#> 7 EH7707
#>
cool_file <- HiContactsData(sample = 'yeast_wt', format = 'cool')
#> snapshotDate(): 2022-10-24
#> see ?HiContactsData and browseVignettes('HiContactsData') for documentation
#> loading from cache
cool_file
#> EH7701
#> "/home/biocbuild/.cache/R/ExperimentHub/3508b72098fa84_7751"
HiContacts
package can be used to import data provided by HiContactsData
.
Refer to HiContacts
package documentation for further information.
sessionInfo()
#> R version 4.2.1 (2022-06-23)
#> Platform: x86_64-pc-linux-gnu (64-bit)
#> Running under: Ubuntu 20.04.5 LTS
#>
#> Matrix products: default
#> BLAS: /home/biocbuild/bbs-3.16-bioc/R/lib/libRblas.so
#> LAPACK: /home/biocbuild/bbs-3.16-bioc/R/lib/libRlapack.so
#>
#> locale:
#> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
#> [3] LC_TIME=en_GB LC_COLLATE=C
#> [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
#> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C
#> [9] LC_ADDRESS=C LC_TELEPHONE=C
#> [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
#>
#> attached base packages:
#> [1] stats graphics grDevices utils datasets methods base
#>
#> other attached packages:
#> [1] HiContactsData_1.0.0 ExperimentHub_2.6.0 AnnotationHub_3.6.0
#> [4] BiocFileCache_2.6.0 dbplyr_2.2.1 BiocGenerics_0.44.0
#> [7] BiocStyle_2.26.0
#>
#> loaded via a namespace (and not attached):
#> [1] Rcpp_1.0.9 png_0.1-7
#> [3] Biostrings_2.66.0 assertthat_0.2.1
#> [5] digest_0.6.30 utf8_1.2.2
#> [7] mime_0.12 R6_2.5.1
#> [9] GenomeInfoDb_1.34.0 stats4_4.2.1
#> [11] RSQLite_2.2.18 evaluate_0.17
#> [13] httr_1.4.4 pillar_1.8.1
#> [15] zlibbioc_1.44.0 rlang_1.0.6
#> [17] curl_4.3.3 jquerylib_0.1.4
#> [19] blob_1.2.3 S4Vectors_0.36.0
#> [21] rmarkdown_2.17 stringr_1.4.1
#> [23] RCurl_1.98-1.9 bit_4.0.4
#> [25] shiny_1.7.3 compiler_4.2.1
#> [27] httpuv_1.6.6 xfun_0.34
#> [29] pkgconfig_2.0.3 htmltools_0.5.3
#> [31] tidyselect_1.2.0 KEGGREST_1.38.0
#> [33] GenomeInfoDbData_1.2.9 tibble_3.1.8
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#> [47] lifecycle_1.0.3 DBI_1.1.3
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#> [59] vctrs_0.5.0 tools_4.2.1
#> [61] bit64_4.0.5 Biobase_2.58.0
#> [63] glue_1.6.2 purrr_0.3.5
#> [65] BiocVersion_3.16.0 fastmap_1.1.0
#> [67] yaml_2.3.6 AnnotationDbi_1.60.0
#> [69] BiocManager_1.30.19 memoise_2.0.1
#> [71] knitr_1.40 sass_0.4.2