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Where will you submit your data as endpoints?
2. What kind of data will you handle:
4. Are there any standards that are relevant for you?
are currently (a) somewhat arbitrary and (b) inconsistently leveled.
E.g. RNAseq, other NGS (genomics), metabolomics, proteomics, targeted assays, (phenotypic, genetics) are ~ assay types, whereas models, code, excel, cloned DNA (?), image are rather data / file type.
I think for most data types these topics actually go well together.
So, I would suggest an iterative selection process starting from user perspective, e.g.
Assay type
└ Data type
├ (suggested) repository
└ relevant metadata standard
Assay type
Data type
(suggested) repository
relevant metadata standard(s)
mRNA-Seq
(sequences stored as) .fastq
GEO
MIAME, MINSEQE
Phenotyping
(weight, height stored as) .txt, .csv
PGP
MIAPPE
...
The text was updated successfully, but these errors were encountered:
The selection options for
are currently (a) somewhat arbitrary and (b) inconsistently leveled.
E.g. RNAseq, other NGS (genomics), metabolomics, proteomics, targeted assays, (phenotypic, genetics) are ~ assay types, whereas models, code, excel, cloned DNA (?), image are rather data / file type.
I think for most data types these topics actually go well together.
So, I would suggest an iterative selection process starting from user perspective, e.g.
The text was updated successfully, but these errors were encountered: