Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/612869
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dc.coverage.spatialInstigation of Data Mining in Bioinformatics for Analysis of Protein and DNA Sequences
dc.date.accessioned2025-01-08T09:44:19Z-
dc.date.available2025-01-08T09:44:19Z-
dc.identifier.urihttp://hdl.handle.net/10603/612869-
dc.description.abstractThe scientific investigation involves the thorough examination of DNA and protein molecules derived from animal hair, skin, and nails. This analysis is conducted utilizing a comprehensive suite of advanced bioinformatics tools, including Mega BLAST, BLASTN, BLASTP, Quick BLAST, PSI-BLAST, BLASTP, and Discontinuous Mega BLAST. The choice of algorithm should be influenced by the research goals and the inherent characteristics of the sequences under scrutiny. Evaluating algorithm performance is paramount, and metrics such as maximum score, total score, E-value, query cover, percentage identity (%ID), and R-squared are employed to gain insights into sequence alignment quality and similarity determinations. The algorithm selected significantly influences the precision and sensitivity of results, with varying degrees of success in identifying distant homologs and achieving accurate sequence alignments. The bioinformatic analysis of DNA and proteins derived from animal hair, skin, and nails yields invaluable insights into their functional significance and evolutionary history. This analytical approach facilitates the elucidation of evolutionary relationships and deeper comprehension of the molecular foundations of diverse biological processes. Moreover, the quality of databases employed in sequence comparisons profoundly impacts the outcome of investigations. The utilization of meticulously curated and up-to-date databases enhances the accuracy of results. To ensure the reliability of the bioinformatics analysis, validation against outcomes from alternate computational or experimental methodologies is recommended. Cross-validation of the analytical findings enhances their credibility and reliability. The implications of this bioinformatics investigation resonate across various domains of biomedical research, encompassing drug discovery, personalized treatment strategies, and the clarification of disease mechanisms. The exploration of animal hair, skin, and nail DNA and proteins through tools like Mega BLAST, BLASTN, BLA
dc.format.extent154
dc.languageEnglish
dc.relation56
dc.rightsuniversity
dc.titleInstigation of Data Mining in Bioinformatics for Analysis of Protein and DNA Sequences
dc.title.alternativeInstigation of Data Mining in Bioinformatics for Analysis of Protein and DNA Sequences
dc.creator.researcherPandita, Sunanda
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordEngineering and Technology
dc.description.notePublication p-154
dc.contributor.guideGundalwar, Pravin
dc.publisher.placeNashik
dc.publisher.universitySandip University
dc.publisher.institutionComputer Science and Application
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions30
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Science and Application



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