Type of Material: | Thesis |
Title: | Bio Inspired Computing Model For Gene Editing Using Insertion Deletion Systems |
Researcher: | KOTTEESWARAN, C |
Guide: | KHANAA, V |
Department: | Department of Engineering and Technology(Computer Science and Engineering) |
Publisher: | Bharath University, Chennai |
Place: | Chennai |
Year: | 2021 |
Language: | English |
Subject: | Computer Science | Computer Science Theory and Methods | Engineering and Technology | Computer Science and Information Technology | Engineering and Technology |
Dissertation/Thesis Note: | PhD; Department of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai; 2021; D13CS509 |
Fulltext: | Shodhganga |
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003 | IN-AhILN | |
005 | 2024-09-19 16:42:23 | |
008 | __ | 240919t2021||||ii#||||g|m||||||||||eng|| |
035 | __ | |a(IN-AhILN)th_454900 |
040 | __ | |aBHAU_600073|dIN-AhILN |
041 | __ | |aeng |
100 | __ | |aKOTTEESWARAN, C|eResearcher |
110 | __ | |aDepartment of Engineering and Technology(Computer Science and Engineering)|bBharath University, Chennai|dChennai|ein|0U-0446 |
245 | __ | |aBio Inspired Computing Model For Gene Editing Using Insertion Deletion Systems |
260 | __ | |aChennai|bBharath University, Chennai|c2021 |
300 | __ | |dDVD |
502 | __ | |bPhD|cDepartment of Engineering and Technology(Computer Science and Engineering), Bharath University, Chennai, Chennai|d2021|oD13CS509 |
520 | __ | |aBio inspired computing system is playing a vital in providing solutions to complex problems using biological processes. They find wide applications in designing intelligent systems and optimization problems. In this research, four bio inspired computing models for editing genes using insertion deletion systems has been designed, implemented and tested. The first system uses indexed grammar based editing system for identifying malformations in the gene and correcting them using the insertion deletion system based on indexed grammar. The second system employs a matrix based insertion deletion system for gene editing. The regions to be edited are identified using molecular sequence weight measure. The third system uses RNA sequence support measure to identify regions to be edited. Based on the deviations in the identified region, insertion deletion operations are performed using a matrix insertion deletion system. The fourth system uses template match measure for malformed regions in the input gene expression. |
650 | __ | |aComputer Science and Information Technology|2UGC |
650 | __ | |aEngineering and Technology|2AIU |
653 | __ | |aComputer Science |
653 | __ | |aComputer Science Theory and Methods |
653 | __ | |aEngineering and Technology |
700 | __ | |aKHANAA, V|eGuide |
856 | __ | |uhttp://shodhganga.inflibnet.ac.in/handle/10603/324574|yShodhganga |
905 | __ | |afromsg |
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