Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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📄Phylogenetics Algorithms and Applications

📚 Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
🗓Publish year: 2019

💥Abstract: Phylogenetics is a powerful approach in finding evolution of current day species. By studying phylogenetic trees, scientists gain a better understanding of how species have evolved while explaining the similarities and differences among species. The phylogenetic study can help in analysing the evolution and the similarities among diseases and viruses, and further help in prescribing their vaccines against them. This paper explores computational solutions for building phylogeny of species along with highlighting benefits of alignment-free methods of phylogenetics. The paper has also discussed the application of phylogenetic study in disease diagnosis and evolution.

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#Phylogenetics #algorithm
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📄Parameterized Algorithms in Bioinformatics: An Overview

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Journal: Algorithms
🗓Publish year: 2019

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#algorithm #parameterize
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📃Quantum computing algorithms for Computational Biology

📕 Journal: Briefings in Bioinformatics (I.F=9.5)
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Publish year: 2022

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#review #Quantum_computing #algorithm
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