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 |
Full Text |
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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 |
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