Contents

1 Overview

The alabaster.ranges package implements methods to save genomic ranges (i.e., GRanges and GRangesList objects) to file artifacts and load them back into R. It also supports various CompressedList subclasses, including the somewhat useful CompressedSplitDataFrameList. Check out alabaster.base for more details on the motivation and concepts of the alabaster framework.

2 Quick start

Given some genomic ranges, we can use saveObject() to save it inside a staging directory:

library(GenomicRanges)
gr <- GRanges("chrA", IRanges(sample(100), width=sample(100)))
mcols(gr)$score <- runif(length(gr))
metadata(gr)$genome <- "Aaron"
seqlengths(gr) <- c(chrA=1000)

library(alabaster.ranges)
tmp <- tempfile()
saveObject(gr, tmp)

list.files(tmp, recursive=TRUE)
## [1] "OBJECT"                                 
## [2] "other_annotations/OBJECT"               
## [3] "other_annotations/list_contents.json.gz"
## [4] "range_annotations/OBJECT"               
## [5] "range_annotations/basic_columns.h5"     
## [6] "ranges.h5"                              
## [7] "sequence_information/OBJECT"            
## [8] "sequence_information/info.h5"

We can then easily load it back in with readObject().

roundtrip <- readObject(tmp)
roundtrip
## GRanges object with 100 ranges and 1 metadata column:
##         seqnames    ranges strand |     score
##            <Rle> <IRanges>  <Rle> | <numeric>
##     [1]     chrA    91-141      * | 0.7092647
##     [2]     chrA    25-119      * | 0.9190553
##     [3]     chrA     10-40      * | 0.9690151
##     [4]     chrA    84-105      * | 0.0787634
##     [5]     chrA     11-91      * | 0.4963876
##     ...      ...       ...    ... .       ...
##    [96]     chrA    43-109      * | 0.8527785
##    [97]     chrA     18-50      * | 0.8076054
##    [98]     chrA    68-133      * | 0.7041418
##    [99]     chrA      3-47      * | 0.0353085
##   [100]     chrA     34-81      * | 0.1768160
##   -------
##   seqinfo: 1 sequence from an unspecified genome

The same can be done for GRangesList and CompressedList subclasses.

2.1 Further comments

Metadata is preserved during this round-trip:

metadata(roundtrip)
## $genome
## [1] "Aaron"
mcols(roundtrip)
## DataFrame with 100 rows and 1 column
##         score
##     <numeric>
## 1   0.7092647
## 2   0.9190553
## 3   0.9690151
## 4   0.0787634
## 5   0.4963876
## ...       ...
## 96  0.8527785
## 97  0.8076054
## 98  0.7041418
## 99  0.0353085
## 100 0.1768160
seqinfo(roundtrip)
## Seqinfo object with 1 sequence from an unspecified genome:
##   seqnames seqlengths isCircular genome
##   chrA           1000         NA   <NA>

Session information

sessionInfo()
## R version 4.4.0 RC (2024-04-16 r86468 ucrt)
## Platform: x86_64-w64-mingw32/x64
## Running under: Windows Server 2022 x64 (build 20348)
## 
## Matrix products: default
## 
## 
## locale:
## [1] LC_COLLATE=C                          
## [2] LC_CTYPE=English_United States.utf8   
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C                          
## [5] LC_TIME=English_United States.utf8    
## 
## time zone: America/New_York
## tzcode source: internal
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
## [1] alabaster.ranges_1.5.1 alabaster.base_1.5.1   GenomicRanges_1.57.0  
## [4] GenomeInfoDb_1.41.1    IRanges_2.39.0         S4Vectors_0.43.0      
## [7] BiocGenerics_0.51.0    BiocStyle_2.33.0      
## 
## loaded via a namespace (and not attached):
##  [1] httr_1.4.7              cli_3.6.2               knitr_1.47             
##  [4] rlang_1.1.3             xfun_0.44               UCSC.utils_1.1.0       
##  [7] jsonlite_1.8.8          htmltools_0.5.8.1       sass_0.4.9             
## [10] rmarkdown_2.27          evaluate_0.23           jquerylib_0.1.4        
## [13] fastmap_1.2.0           Rhdf5lib_1.27.0         alabaster.schemas_1.5.0
## [16] yaml_2.3.8              lifecycle_1.0.4         bookdown_0.39          
## [19] BiocManager_1.30.23     compiler_4.4.0          Rcpp_1.0.12            
## [22] rhdf5filters_1.17.0     XVector_0.45.0          rhdf5_2.49.0           
## [25] digest_0.6.35           R6_2.5.1                GenomeInfoDbData_1.2.12
## [28] bslib_0.7.0             tools_4.4.0             zlibbioc_1.51.0        
## [31] cachem_1.1.0