TCGABiolinks downloaded data do not match GDC portal data
1
0
Entering edit mode
@mariozanfardino-15232
Last seen 3.7 years ago
Naples (Italy)

Hi,

i downloaded TCGA-OV data from TCGAbiolinks:

query <- GDCquery(project = c("TCGA-OV"), 
               data.category = "Transcriptome Profiling",
               legacy = FALSE,
               data.type = "Gene Expression Quantification",
               sample.type = "Solid Tissue Normal",
               workflow.type = "HTSeq - Counts")
GDCdownload(query)
gene_exp <- GDCprepare(query, summarizedExperiment = FALSE)

the result is:

Sorry! There is no result for your query. Please check in GDC the data available or if there is no error in your query.

But on GDC i see 71 solid tissue normal cases. Moreover, in other cases the number of samples do not match between TCGAbiolinks download and GDC cases.

Any suggenstions?

Thanks!

TCGAbiolinks • 1.7k views
ADD COMMENT
1
Entering edit mode
Kevin Blighe ★ 3.9k
@kevin
Last seen 1 day ago
Republic of Ireland

From what I recall (from 2018), there are no HTSeq counts for normal samples in the TCGA-OV cohort. Where on GDC did you see these?

ADD COMMENT
0
Entering edit mode

You can see normal samples for HTSeq counts here:

71 normal tissue cases

ADD REPLY
1
Entering edit mode

No, those are all tumour. On the original link that you posted, the normal samples in the list were from DNA sequencing, not RNA-sequencing.

ADD REPLY
1
Entering edit mode

Can see here, too, on Xena:

The barcodes for HTSeq counts for TCGA-OV indicate that they are all primary tumour.

ADD REPLY
1
Entering edit mode

Ok, therefore RNA-seq checkbox not works as a filter on GDC? if I select solid tissue normal the result refers to all normal tissue independently from data category or data type selected?

Thank you Kevin!

ADD REPLY

Login before adding your answer.

Traffic: 957 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6