The manifest
function/method creates a manifest of files to be downloaded
using the GDC Data Transfer Tool. There are methods for
creating manifest data frames from GDCQuery
objects
that contain file information ("cases" and "files" queries).
Examples
gFiles = files()
shortManifest = gFiles %>% manifest(size=10)
head(shortManifest,n=3)
#> id data_format access
#> 1 c786e2e9-04ea-48cf-b8a5-3daa96c1837b BAM controlled
#> 2 4f27d16f-0029-43f5-8627-7f477b4cce6d TSV controlled
#> 3 c7546d88-1748-4760-b06f-0b510484345a VCF controlled
#> file_name
#> 1 c7522bbe-48b8-4338-b36e-564021353f00.rna_seq.transcriptome.gdc_realn.bam
#> 2 c7522bbe-48b8-4338-b36e-564021353f00.rna_seq.star_splice_junctions.tsv.gz
#> 3 bce47c3d-a414-49c9-bd27-9e941144860c.wgs.CaVEMan.raw_somatic_mutation.vcf.gz
#> submitter_id data_category acl
#> 1 83385997-2e30-4a0e-ba08-8a359cf9e758 Sequencing Reads phs001486
#> 2 b1a12732-5668-4c9a-90b2-ed8817ffa063 Transcriptome Profiling phs001486
#> 3 4d86c0a2-deb6-4060-9a64-1ad96ef94a51 Simple Nucleotide Variation phs001486
#> type platform file_size created_datetime
#> 1 aligned_reads Illumina 16264880178 2022-01-05T13:58:13.190285-06:00
#> 2 gene_expression <NA> 2744657 2022-01-05T16:06:14.065970-06:00
#> 3 simple_somatic_mutation <NA> 3126634 2020-07-10T11:39:51.205109-05:00
#> md5sum updated_datetime
#> 1 c1eba4660cf44f9018fe9323bb4c88ec 2022-01-19T23:25:37.395824-06:00
#> 2 7d52913e765f757485357bb7c7bedd19 2022-01-19T23:22:31.836567-06:00
#> 3 23fa4cbce43707f7da9100815d699262 2020-10-26T12:35:23.058290-05:00
#> file_id data_type state
#> 1 c786e2e9-04ea-48cf-b8a5-3daa96c1837b Aligned Reads released
#> 2 4f27d16f-0029-43f5-8627-7f477b4cce6d Splice Junction Quantification released
#> 3 c7546d88-1748-4760-b06f-0b510484345a Raw Simple Somatic Mutation released
#> experimental_strategy state_comment error_type proportion_reads_mapped
#> 1 RNA-Seq NA NA NA
#> 2 RNA-Seq NA NA NA
#> 3 WGS NA NA NA
#> proportion_base_mismatch contamination_error pairs_on_diff_chr total_reads
#> 1 NA NA NA NA
#> 2 NA NA NA NA
#> 3 NA NA NA NA
#> mean_coverage proportion_reads_duplicated contamination average_base_quality
#> 1 NA NA NA NA
#> 2 NA NA NA NA
#> 3 NA NA NA NA
#> average_insert_size average_read_length proportion_targets_no_coverage
#> 1 NA NA NA
#> 2 NA NA NA
#> 3 NA NA NA