EnzChemRED is a new training and benchmarking dataset to support the development of Natural Language Processing (NLP) methods such as large language models (LLMs) that can assist enzyme curation. Use it to boost your enzyme annotation!
EnzChemRED is a new training and benchmarking dataset to support the development of Natural Language Processing (NLP) methods such as large language models (LLMs) that can assist enzyme curation. Use it to boost your enzyme annotation!
Interested in carrying out highly sensitive and efficient large-scale protein homology searches? STEAM, Search with TEA against Many, performs a fast search against large datasets of proteins translated to TEA (The Embedded Alphabet). [Read more]
Apply to attend the SIB course Using the Gene Ontology Annotations in UniProt which will be live streamed on June 15! This 0.5-day course is taught by the developers of GO and annotators at UniProt.
The mOTUs website has been updated to improve user experience. The new world map lets you see where mOTUs samples come from at a glance. The documentation and tutorials for the tool have been revisited. Check it out!