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GeneTEK: Low-power and high-performance FPGA scalable architecture for exact unit-cost edit distance.

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Bibliographic Details
Title:	GeneTEK: Low-power and high-performance FPGA scalable architecture for exact unit-cost edit distance.
Authors:	Espinosa E; Dept. of Computer Architecture, University of Malaga, Malaga, Spain. Electronic address: elenamesga@uma.es., Rodríguez Álvarez R; Embedded Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland. Electronic address: ruben.rodriguezalvarez@epfl.ch., Miranda J; Centro de Electrónica Industrial y Sistemas Multimodales, Universidad Politécnica de Madrid, Madrid, Spain., Larrosa R; Dept. of Computer Architecture, University of Malaga, Malaga, Spain; Supercomputing and Bioinnovation Center (SCBI), University of Malaga, Malaga, Spain., Peón-Quirós M; EcoCloud, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland., Plata Ó; Dept. of Computer Architecture, University of Malaga, Malaga, Spain., Atienza D; Embedded Systems Laboratory, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Source:	Computers in biology and medicine [Comput Biol Med] 2026 Jul 01; Vol. 210, pp. 111709. Date of Electronic Publication: 2026 May 02.
Publication Type:	Journal Article
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1879-0534
DOI:	10.1016/j.compbiomed.2026.111709