I have added the new MiSeq and NextSeq models to the profiles-folder and made them available through the cli. Both the MiSeq and NextSeq error models produce paired-end reads of 301bp. The miSeq models are based on the reads of the 8 runs of SRA project ERP022313.
miSeq_0.npz --> filter: none
miSeq_20.npz --> filter: the forward and reverse read have a mean quality score >= 20
miSeq_24.npz --> filter: the forward and reverse read have a mean quality score >= 24
miSeq_28.npz --> filter: the forward and reverse read have a mean quality score >= 28
miSeq_32.npz --> filter: the forward and reverse read have a mean quality score >= 32
miSeq_36.npz --> filter: the forward and reverse read have a mean quality score >= 36
nextSeq.npz --> filter: none
Below are the placeholder-names that I have used for the error models in the cli. I am not very happy with the current names: it's not clear what the number means. At the same time I don't want to use very long and extensive names. The naming of the error models is open for discussion.
Hi Hadrien,
I have added the new MiSeq and NextSeq models to the profiles-folder and made them available through the cli. Both the MiSeq and NextSeq error models produce paired-end reads of 301bp. The miSeq models are based on the reads of the 8 runs of SRA project ERP022313.
Below are the placeholder-names that I have used for the error models in the cli. I am not very happy with the current names: it's not clear what the number means. At the same time I don't want to use very long and extensive names. The naming of the error models is open for discussion.
Let me know what you think of it.
Best, Stefan