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GeNLP: a web tool for NLP-based exploration and prediction of microbial gene function.
Miller, Danielle; Arias, Ofir; Burstein, David.
Affiliation
  • Miller D; The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.
  • Arias O; The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.
  • Burstein D; The Shmunis School of Biomedicine and Cancer Research, George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv 6997801, Israel.
Bioinformatics ; 40(2)2024 02 01.
Article in En | MEDLINE | ID: mdl-38291951
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2024 Type: Article Affiliation country: Israel

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genomics Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2024 Type: Article Affiliation country: Israel