Search the raw data with the DDA lib (with MBR off) and generate a DIA-based spectral library based on that. Unless the library contains some exotic modifications, it's recommended to select the 'Deep learning' checkbox for this step.
Search the raw data with the in silico predicted lib (with MBR off) and generate a DIA-based spectral library based on that.
Research the data while loading both DIA-based libs (generated from the above steps) using two --lib commands in 'Additional options'.
Can I create a hybrid library from fasta digest and dda library? the dda library was created by fragpipe using fractionation dda data。