DAVI consists of models for both global and local alignment and for variant calling. We have evaluated the performance of DAVI against existing state-of-the-art tool sets and found that its accuracy and performance is comparable to existing tools used for bench-marking. We further demonstrate that while existing tools are based on data generated from a specific sequencing technology, the models proposed in DAVI are generic and can be used across different NGS technologies as well as across different species
https://iopscience.iop.org/article/10.1088/2632-2153/ab7e19/pdf
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DeepConflation based CNN model is used to generate alignment of fasta file . Model try to match a query string in a referance genome to provide location of match.
https://github.com/gguptaiitd/DeepConflation