Prosit offers high quality MS2 predicted spectra for any organism and protease as well as iRT prediction. When using Prosit is helpful for your research, please cite "Gessulat, Schmidt et al. 2019" DOI 10.1038/s41592-019-0426-7
Anyone can help me ? I can not understand what PROSIT is saying... I am using it directly on site and I obtain this:
"WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. Using TensorFlow backend. /root/.pyenv/versions/3.6.0/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. defaults = yaml.load(f) Traceback (most recent call last): File "oktoberfest/tensor_peptidelist.py", line 23, in tensor = prosit.tensorize.peptidelist(df) File "/root/.pyenv/versions/3.6.0/src/prosit/prosit/tensorize.py", line 55, in peptidelist "collision_energy_aligned_normed": get_numbers(df.collision_energy) / 100., File "/root/.pyenv/versions/3.6.0/src/prosit/prosit/tensorize.py", line 27, in get_numbers a = numpy.array(vals).astype(dtype) ValueError: could not convert string to float: '28;2' make: *** [tensor_peptidelist] Error 5"
Hello!
Anyone can help me ? I can not understand what PROSIT is saying... I am using it directly on site and I obtain this: "WARNING: Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap. Using TensorFlow backend. /root/.pyenv/versions/3.6.0/lib/python3.6/site-packages/distributed/config.py:20: YAMLLoadWarning: calling yaml.load() without Loader=... is deprecated, as the default Loader is unsafe. Please read https://msg.pyyaml.org/load for full details. defaults = yaml.load(f) Traceback (most recent call last): File "oktoberfest/tensor_peptidelist.py", line 23, in tensor = prosit.tensorize.peptidelist(df) File "/root/.pyenv/versions/3.6.0/src/prosit/prosit/tensorize.py", line 55, in peptidelist "collision_energy_aligned_normed": get_numbers(df.collision_energy) / 100., File "/root/.pyenv/versions/3.6.0/src/prosit/prosit/tensorize.py", line 27, in get_numbers a = numpy.array(vals).astype(dtype) ValueError: could not convert string to float: '28;2' make: *** [tensor_peptidelist] Error 5"
Thanks a lot for any help !