The following datasets are not complete in terms of sample size.

[Dr3753]

GREIN is a fantastic tool for exploring RNA-seq data, and I greatly appreciate it. However, there appears to be an issue where certain datasets include only 20 samples each, which is not consistent with the sample size listed in GEO. It seems there might be some bugs present. Could I re-procressing the following datasets?
GSE184941
GSE190504
GSE180280
GSE183947
GSE189757

GSE146009
GSE162960
GSE165255
GSE183984
GSE107422

GSE179746
GSE158420
GSE171415
GSE142441
GSE172356

GSE181273
GSE133626
GSE147493
GSE179252
GSE184336

GSE113255
GSE126304
GSE127165
GSE142083
GSE173855

GSE112026
GSE179351
Than you very much!!

[Mario-Medvedovic]

Thank you for pointing this out. We were aware that there were occasional cases when this happened, but did not know there were so many of them. We will re-run these.

I am curious, how did you compile the list? Is this an exhaustive list of datasets with this problem, of they are just datasets that you were interested in and they happened to be problematic?

[Dr3753]

@Mario-Medvedovic Thank you for your reply! I am an oncologist and I am currently systematically searching for RNA data of tumors. My search criteria include: 1) human solid tumor tissue, 2) bulk RNA-seq, and 3) data from 2009 onwards. I have checked the number of datasets available from the 171 included studies and have compiled the list above. Although I only need four of them, I thought it would be appropriate to report all of them to you.
By the way, this platform is very helpful, and I have recommended it to my colleagues. They all agree.

[Mario-Medvedovic]

Thank you for info. As I said, I will re-run these. I will also run a comprehensive check over all datasets. It is very gratifying to hear that somebody like yourself finds GREIN useful.

[Mario-Medvedovic]

All datasets in the list above have been re-processed now, and all except one (GSE184336) are available in GREIN. For GSE184336, our pipeline failed in extracting fastq files. We intent to troubleshoot, but this may take a while.

[Dr3753]

@Mario-Medvedovic Thank you for the update on the reprocessing of the datasets. It was completed much faster than expected, and it has already helped a lot. There isn't much I could help, I will continue to report any bugs I encounter in the future as a form of support. Thank you again!