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Machine learning in prediction of ageing-related genes/proteins

in Algorithms/Databases/Machine Learning by

Ageing has a great impact on human health, when people’s age advance towards 80 years, approximately half of the proteins in the body get damaged through oxidation. The chemical degradations occurring in our body produce energy by the consumed food via oxidation in the presence of oxygen. Continue reading “Machine learning in prediction of ageing-related genes/proteins” »

Simulated sequence alignment software: An alternative to MSA benchmarks

in Algorithms/Databases/Sequence Analysis/Softwares/Tools by

In our previous article, we discussed different multiple sequence alignment (MSA) benchmarks to compare and assess the available MSA programs. However, since the last decade, several sequence simulation software have been introduced and are gaining more interest. In this article, we will be discussing various sequence simulating software being used as alternatives to MSA benchmarks. Continue reading “Simulated sequence alignment software: An alternative to MSA benchmarks” »

Benchmark databases for multiple sequence alignment: An overview

in Algorithms/Sequence Analysis/Softwares by

Multiple sequence alignment (MSA) is a very crucial step in most of the molecular analyses and evolutionary studies. Many MSA programs have been developed so far based on different approaches which attempt to provide optimal alignment with high accuracy. Basic algorithms employed to develop MSA programs include progressive algorithm [1], iterative-based [2], and consistency-based algorithm [3]. Some of the programs incorporate several other methods into the process of creating an optimal alignment such as M-COFFEE [4] and PCMA [5]. Continue reading “Benchmark databases for multiple sequence alignment: An overview” »

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