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View Code? Open in Web Editor NEWPytorch implementation of DeepNovoV2, a state-of-the-art de novo peptide sequencing model.
License: Other
Pytorch implementation of DeepNovoV2, a state-of-the-art de novo peptide sequencing model.
License: Other
Hi, I am hoping to use the pretrained DeepNovo model (V1) to generate feature embeddings for my data to benchmark. Is a pretrained model available to download? Alternatively, did you train your model from scratch or did you port the weights from the author's tensorflow github?
Hi Rui,
Thanks for the work.
Is there a detailed documentation I could refer to?
Hi,
If I want to make predictions for a new mgf file, do I have to leave an empty cell for the 'seq' column in its feature file?
I noted that the headers of the feature files are defined as follow;
"spec_group_id","m/z","z","rt_mean","seq","scans","profile","feature area"
On the other hand, do you have any setting recommendations (deepnovo_config.py) for data coming from a QExactive-HF?
best,
Carlos
Hi there again,
I am trying to create an small model. However I got this message
2021-02-11 09:06:40,625 [INFO] __main__: training mode
2021-02-11 09:06:40,626 [INFO] data_reader: input spectrum file: /home/cguetot/projects/epigg/deepnovo/species/models/A3/input_files/spectrum.mgf
2021-02-11 09:06:40,626 [INFO] data_reader: input feature file: /home/cguetot/projects/epigg/deepnovo/species/models/A3/input_files/feature.train.csv
2021-02-11 09:06:40,626 [INFO] data_reader: build spectrum location from scratch
2021-02-11 09:06:43,778 [INFO] data_reader: read 4737 features, 0 skipped by mass, 0 skipped by unknown modification, 0 skipped by length
2021-02-11 09:06:43,778 [INFO] train_func: 148 steps per epoch
2021-02-11 09:06:43,778 [INFO] data_reader: input spectrum file: /home/cguetot/projects/epigg/deepnovo/species/models/A3/input_files/spectrum.mgf
2021-02-11 09:06:43,778 [INFO] data_reader: input feature file: /home/cguetot/projects/epigg/deepnovo/species/models/A3/input_files/feature.valid.csv
2021-02-11 09:06:43,778 [INFO] data_reader: read cached spectrum locations
2021-02-11 09:06:43,785 [INFO] data_reader: read 876 features, 0 skipped by mass, 0 skipped by unknown modification, 0 skipped by length
2021-02-11 09:06:43,811 [INFO] train_func: initialize a set of new parameters
2021-02-11 09:24:43,300 [INFO] train_func: best model at epoch None step None
when I try with more data everything seems to be ok.
Carlos
Dears,
is there a description on how these two scores (peptide_score and predicted_score_max) are calculated, what is the scale, what to they represent?
Bests,
-A
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