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Since its inception, DNA computing has advanced to offer an extremely powerful, energy-efficient emerging technology for solving hard computational problems with its inherent massive parallelism and extremely high data density. This would be much more powerful and general purpose when combined with other existing well-known algorithmic solutions that exist for conventional computing architectures...
Recent advances in DNA sequencing techniques have led to an unprecedented accumulation and availability of molecular sequence data that needs to be analyzed. This data explosion in combination with the multi-core revolution also affects the computational kernels for phylogenetic inference (reconstruction of evolutionary trees from molecular sequence data) under the widely-used Maximum Likelihood (ML)...
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