Indexing

Phylogenetic Tree Construction with Optimum Multiple Sequence Alignment

Author: Pankaj Bhambri* and Om Parkash Gupta**

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Abstract

Bioinformatics concern is related to every living and non-living species on the planet. So, there are massive opportunities to work in this evolving discipline. Proteins are yielded from the DNA sequences after translation and transcription processes. Sequence alignment is a common approach to identification and categorization among the different residues. Through sequence alignment, prediction for the further changes in the existing structures could be identified and it enhances the further research oriented process like drug discovery. As the numbers of protein sequence are enhanced, the complexity for the multiple sequence alignment also increases. In this project, we put the efforts to optimize the multiple sequence alignment process and thereafter designed and developed the phylogenetic tree using distance based methods.

Keywords

Phylogenetic Tree, Multiple Sequence Alignment, Distance based Methods, Proteins

Conclusion

Bioinformatics concern is related to every living and non-living species on the planet. So, there are massive opportunities to work in this evolving discipline. Proteins are yielded from the DNA sequences after translation and transcription processes. Sequence alignment is a common approach to identification and categorization among the different residues. Through sequence alignment, prediction for the further changes in the existing structures could be identified and it enhances the further research oriented process like drug discovery. As the numbers of protein sequence are enhanced, the complexity for the multiple sequence alignment also increases. In this project, we put the efforts to optimize the multiple sequence alignment process and thereafter designed and developed the phylogenetic tree using distance based methods.

References

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How to cite this article

Pankaj Bhambri* and Om Parkash Gupta (2016). Phylogenetic Tree Construction with Optimum Multiple Sequence Alignment , Biological Forum – An International Journal 8(2): 330-339.