MapperGPT: Large Language Models for Linking and Mapping Entities

1 code implementation • 5 Oct 2023 • Nicolas Matentzoglu, J. Harry Caufield, Harshad B. Hegde, Justin T. Reese, Sierra Moxon, HyeongSik Kim, Nomi L. Harris, Melissa A Haendel, Christopher J. Mungall

Here we present MapperGPT, an approach that uses LLMs to review and refine mapping relationships as a post-processing step, in concert with existing high-recall methods that are based on lexical and structural heuristics.

Anatomy Data Integration +1

Recommendations for extending the GFF3 specification for improved interoperability of genomic data

no code implementations • 15 Feb 2022 • Surya Saha, Scott Cain, Ethalinda K. S. Cannon, Nathan Dunn, Andrew Farmer, Zhi-Liang Hu, Gareth Maslen, Sierra Moxon, Christopher J Mungall, Rex Nelson, Monica F. Poelchau

The GFF3 format is a common, flexible tab-delimited format representing the structure and function of genes or other mapped features (https://github. com/The-Sequence-Ontology/Specifications/blob/master/gff3. md).