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Once SDRF information is parsed and validated it should be possible to use it in a convenient way.
Possible use cases are:
exposing it via an API for consumption in scripts or
writing it to a file.
Benefits
Python based proteomics data analysis tools don't need to reinvent the wheel, i.e. the SDRF parsing/validation.
A somewhat permissive parser could be used to enforce a strict adherence of the written SDRF file to the SDRF standard. This would have obvious benefits for anyone creating SDRF files as it would allow them to create byte-perfect SDRF files.
The text was updated successfully, but these errors were encountered:
Once SDRF information is parsed and validated it should be possible to use it in a convenient way.
Possible use cases are:
Benefits
Python based proteomics data analysis tools don't need to reinvent the wheel, i.e. the SDRF parsing/validation.
A somewhat permissive parser could be used to enforce a strict adherence of the written SDRF file to the SDRF standard. This would have obvious benefits for anyone creating SDRF files as it would allow them to create byte-perfect SDRF files.
The text was updated successfully, but these errors were encountered: