Genomic datamining for ageing and longevity research
A database is a collection of information organized in such a way that it can be easily accessed, updated and managed [1]. Databases are an integral part of organizations daily operations. They can be used to support internal operations of organizations, to support online interactions with customers...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/66734 |
| _version_ | 1826128414341332992 |
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| author | Shreya Pulla @ Kruthika |
| author2 | Zheng Jie |
| author_facet | Zheng Jie Shreya Pulla @ Kruthika |
| author_sort | Shreya Pulla @ Kruthika |
| collection | NTU |
| description | A database is a collection of information organized in such a way that it can be easily accessed, updated and managed [1]. Databases are an integral part of organizations daily operations. They can be used to support internal operations of organizations, to support online interactions with customers as well as suppliers and to hold administrative and specialized information [2]. The main aim of this project is develop a curated local database of genomic information and research that pertains to longevity, and to implement a web application that would enable an end user with ease of accessibility to study the information. The data used for the development of this database is the HAGR: Human Ageing Genomics Resource website. The Result of the project is a web application that can aid even a novel user to study the available information, observe and deduce patterns that would aid them in the continued research for methods to increase the longevity of human life. |
| first_indexed | 2024-10-01T07:24:34Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/66734 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T07:24:34Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/667342023-03-03T20:38:51Z Genomic datamining for ageing and longevity research Shreya Pulla @ Kruthika Zheng Jie School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Database management A database is a collection of information organized in such a way that it can be easily accessed, updated and managed [1]. Databases are an integral part of organizations daily operations. They can be used to support internal operations of organizations, to support online interactions with customers as well as suppliers and to hold administrative and specialized information [2]. The main aim of this project is develop a curated local database of genomic information and research that pertains to longevity, and to implement a web application that would enable an end user with ease of accessibility to study the information. The data used for the development of this database is the HAGR: Human Ageing Genomics Resource website. The Result of the project is a web application that can aid even a novel user to study the available information, observe and deduce patterns that would aid them in the continued research for methods to increase the longevity of human life. Bachelor of Engineering (Computer Science) 2016-04-25T01:52:10Z 2016-04-25T01:52:10Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66734 en Nanyang Technological University 63 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Information systems::Database management Shreya Pulla @ Kruthika Genomic datamining for ageing and longevity research |
| title | Genomic datamining for ageing and longevity research |
| title_full | Genomic datamining for ageing and longevity research |
| title_fullStr | Genomic datamining for ageing and longevity research |
| title_full_unstemmed | Genomic datamining for ageing and longevity research |
| title_short | Genomic datamining for ageing and longevity research |
| title_sort | genomic datamining for ageing and longevity research |
| topic | DRNTU::Engineering::Computer science and engineering::Information systems::Database management |
| url | http://hdl.handle.net/10356/66734 |
| work_keys_str_mv | AT shreyapullakruthika genomicdataminingforageingandlongevityresearch |