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"Hampshire discovered that the data they currently have is perfect for reporting purposes, but not necessarily for predicting purposes.
These differences in the working definition indicate that the current prediction pipelines and databases for operon prediction are perfect in predicting condition-specific transcription units/operons in bacterial genomes.
"It's perfect for me — was perfect".
This is perfect for him".
This is perfect for me".
"It's perfect for this".
Bill was perfect for it.
It was perfect for Heidi".
What is perfect for you?
It's perfect for comedy.
"That was perfect for Judd.
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