Bioinformatics: the machine learning approach
Bioinformatics: the machine learning approach
VHDL: Analysis and Modeling of Digital Systems
VHDL: Analysis and Modeling of Digital Systems
FPGA-Based System Design
IEEE Transactions on Parallel and Distributed Systems
A scalable parallel reconfigurable hardware architecture for DNA matching
Integration, the VLSI Journal
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DNA sequences can be often showed in fragments, little pieces, found at crime scene or in a hair sample for paternity exam. In order to compare that fragments with a subject or target sequence of a suspect, we need an efficient tool to analyze the DNA sequence alignment and matching. So DNA matching is a bioinformatics field that could find relationships functions between sequences, alignments and them try to understand it. Usually done by software through databases clusters analysis, DNA matching requires a lot of computational resources, what may increase the bioinformatics project budget. We propose the approach of a hardware parallel architecture, based on heuristic method, capable of reducing time spent on matching process.