Genomic and Proteomic Semantic Annotations Integrating Cross Ontology
Karthik K1, S.Rajaprakash2, S. Muthuselvan3, Fayas alam4, Cris Mathew5
1Karthik K , Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
2S.Rajaprakash, Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
3R.jaichandran S , Dept. of Computer Science and Technology, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
4Fayas alam Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India
5Cris Mathew Final year CSE, Aarupadai Veedu Institute of Technology, Vinayaka Missions Research Foundation Chennai, India.
Manuscript received on November 12, 2019. | Revised Manuscript received on November 23, 2019. | Manuscript published on 30 November, 2019. | PP: 8286-8291 | Volume-8 Issue-4, November 2019. | Retrieval Number: D8970118419/2019©BEIESP | DOI: 10.35940/ijrte.D8970.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Considering the intricate biological phenomena that demand solving the difficult queries on biomedical- based on biomolecular content in sequences, these are sent via various proteomic and genomic semantic annotations that are distributed in many heterogeneous format. With those knowledge and dispersion various biologic scientist’s skill of enquiring various problems and solving them continuously which becomes tedious work for them. To put an end to this problem I developed a software based architecture which creates and maintain a GPKB -Genomic and Proteomic Knowledge Base (GPKB), this combines various important gene diseases and its relevant information. The main problem of such discrete information. The answer to this problem is simple, since the software uses as modular, flexible and a big multilevel schemed data which is based on socializing the combined features of data and its abstraction. It also sets up a trial method for deleting all the combined data that have its structure, data and its numbers. Such methods will also provide consistency, quality and tracking methodologies for all combined data.
Keywords: Ontology, GPKB.
Scope of the Article: Forest Genomics and Informatics.