GeNLP: a web tool for NLP-based exploration and prediction of microbial gene function

Danielle Miller, Ofir Arias, David Burstein

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: GeNLP is a web application that enables exploring microbial gene “semantics” and predictions of uncharacterized gene families based on their genomic context. It utilizes a pre-trained language model to uncover gene relationships and allows users to access and utilize the data as well as make their own predictions through an interactive interface. Availability and implementation: The web application is accessible from all browsers at: http://gnlp.bursteinlab.org/. All source codes are freely available from GitHub under the MIT license here: https://github.com/burstein-lab/genomic-nlp-server.

Original languageEnglish
Article numberbtae034
JournalBioinformatics
Volume40
Issue number2
DOIs
StatePublished - 1 Feb 2024

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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