Title KATH: a no-coding data processing aid for genetic researchers /
Authors Cerniauskas, Kajus ; Kirsnauskas, Dainius ; Preiksa, Paulius ; Salyga, Gabrielius ; Sajauskas, Nojus ; Vaitkus, Junius ; Zemaitaityte, Gerda ; Bagdonas, Kazimieras
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Is Part of CEUR workshop proceedings: IVUS 2024: Information society and university studies 2024: proceedings of the 29th international conference on information society and university studies (IVUS 2023) Kaunas, Lithuania, May 17, 2024 / edited by: I. Veitaitė, A. Lopata, T. Krilavičius, M. Woźniak.. Aachen : CEUR-WS. 2024, vol. 3885, p. 109-120.. ISSN 1613-0073
Keywords [eng] no-coding ; AI ; LLM ; DNA ; data analysis ; data processing ; open source database
Abstract [eng] This paper presents KATH - a No-Coding Data Processing system designed to assist genetic researchers at Harvard University in their work on mutations in the human genome related to eyesight pathologies. We aim to deploy a no-coding solution that enables R & D researchers who are untrained in programming skills to process data from open-source gene databases with advanced DNA processing algorithms by applying a Large Language Model (LLM) based instruction interpreter. The paper presents an overview of the design system and the project's current status.
Published Aachen : CEUR-WS
Type Conference paper
Language English
Publication date 2024
CC license CC license description