1 How could I generate a manifest file with filtering of Race and Ethnicity?

From https://support.bioconductor.org/p/9138939/.

library(GenomicDataCommons,quietly = TRUE)

I made a small change to the filtering expression approach based on changes to lazy evaluation best practices. There is now no need to include the ~ in the filter expression. So:

q = files() %>%
  GenomicDataCommons::filter(
    cases.project.project_id == 'TCGA-COAD' &
      data_type == 'Aligned Reads' &
      experimental_strategy == 'RNA-Seq' &
      data_format == 'BAM')

And get a count of the results:

count(q)

## [1] 1188

And the manifest.

manifest(q)

Your question about race and ethnicity is a good one.

all_fields = available_fields(files())

And we can grep for race or ethnic to get potential matching fields to look at.

grep('race|ethnic',all_fields,value=TRUE)

## [1] "cases.demographic.ethnicity"                                           
## [2] "cases.demographic.race"                                                
## [3] "cases.follow_ups.hormonal_contraceptive_type"                          
## [4] "cases.follow_ups.hormonal_contraceptive_use"                           
## [5] "cases.follow_ups.other_clinical_attributes.hormonal_contraceptive_type"
## [6] "cases.follow_ups.other_clinical_attributes.hormonal_contraceptive_use" 
## [7] "cases.follow_ups.scan_tracer_used"

Now, we can check available values for each field to determine how to complete our filter expressions.

available_values('files',"cases.demographic.ethnicity")

## [1] "not hispanic or latino" "not reported"           "hispanic or latino"    
## [4] "unknown"                "_missing"

available_values('files',"cases.demographic.race")

##  [1] "white"                                    
##  [2] "not reported"                             
##  [3] "black or african american"                
##  [4] "asian"                                    
##  [5] "unknown"                                  
##  [6] "other"                                    
##  [7] "american indian or alaska native"         
##  [8] "native hawaiian or other pacific islander"
##  [9] "not allowed to collect"                   
## [10] "_missing"

We can complete our filter expression now to limit to white race only.

q_white_only = q %>%
  GenomicDataCommons::filter(cases.demographic.race=='white')
count(q_white_only)

## [1] 695

manifest(q_white_only)

2 How can I get the number of cases with RNA-Seq data added by date to TCGA project with GenomicDataCommons?

• From https://support.bioconductor.org/p/9135791/

I would like to get the number of cases added (created, any logical datetime would suffice here) to the TCGA project by experiment type. I attempted to get this data via GenomicDataCommons package, but it is giving me I believe the number of files for a given experiment type rather than number cases. How can I get the number of cases for which there is RNA-Seq data?

library(tibble)
library(dplyr)

## 
## Attaching package: 'dplyr'

## The following objects are masked from 'package:GenomicDataCommons':
## 
##     count, filter, select

## The following objects are masked from 'package:stats':
## 
##     filter, lag

## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union

library(GenomicDataCommons)

cases() %>% 
  GenomicDataCommons::filter(~ project.program.name=='TCGA' & 
                               files.experimental_strategy=='RNA-Seq') %>% 
  facet(c("files.created_datetime")) %>% 
  aggregations() %>% 
  .[[1]] %>% 
  as_tibble() %>%
  dplyr::arrange(dplyr::desc(key))