Pyteomics is a collection of lightweight and handy tools for Python that help to handle various sorts of proteomics data. Pyteomics provides a growing set of modules to facilitate the most common tasks in proteomics data analysis.
All ModificationResolver types now use an in-memory cache for resolved modification definitions, reducing overhead of resolving the same rule over and over again.
Sub-classes should move their implementation of resolve to the _resolve_impl method, otherwise the cache will not be used.
To disable the cache for a resolver instance, call resolver.enable_caching(False).
Constant terminal modifications
This implements support for the syntax discussed in https://github.com/HUPO-PSI/ProForma/issues/6 to include constant modification rules that apply to specific sequence terminals with or without specific amino acids.
Modification caching
All ModificationResolver types now use an in-memory cache for resolved modification definitions, reducing overhead of resolving the same rule over and over again.
Sub-classes should move their implementation of
resolveto the_resolve_implmethod, otherwise the cache will not be used.To disable the cache for a resolver instance, call
resolver.enable_caching(False).Constant terminal modifications
This implements support for the syntax discussed in https://github.com/HUPO-PSI/ProForma/issues/6 to include constant modification rules that apply to specific sequence terminals with or without specific amino acids.