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Write a report on a topic: "Prediction of Baldness of Upcoming Generation using Genetic Algorithm Crossover Mutation and Multiple Sequence Alignment".
Human genetics is involved in identifying genes that lead to an increased risk of Genetic disease in certain individuals. The identification of disease susceptibility in the genes can help us to improve human health through the development of new prevention, diagnosis, and treatment strategies. In our proposed paper we are researching on baldness i.e. We are predicting that weather upcoming generation of given sequence would suffer from baldness or not.
1. Introduction
2. Proposed Model
Steps involved in processing sequence of DNA:
1. Start
2. Initialization
3. Chromosome representation
4. Genetic operations
3. Computation Model
4.Multiple sequence alignment Using GA
5. Hereditary Testing
6. Conclusion
Academic requirements:
• Your work must be submitted as 2500 words.
• Your work should be submitted in the formats outlined for each point in the assignment
• The entire assignment brief and completed front sheet must accompany your work.
Verified Expert
A multiple sequence alignment arranges protein sequences into a rectangular array with the goal that residues {in a|during a|in associate degree exceedingly|in a very} given column square measure homologous (derived from one position in an ancestral sequence), superposable (in a rigid native structural alignment) or play a common useful role. Although these 3 criteria square measure primarily equivalent for closely connected proteins, sequence, structure and function diverge over biological process time and totally different|completely different} criteria might end in different alignments. Manually refined alignments continue to be superior to purely automatic methods; there's thus an eternal effort to boost the biological accuracy of MSA tools. Additionally, the high computational value of most naive algorithms motivates enhancements in speed and memory usage
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