Open AccessGenomic and Proteomic Semantic Annotations Integrating Cross Ontology
Author(s) -
Karthik K*,
S. Rajaprakash,
S R.jaichandran,
Fakrul Alam,
C. Poonnoose Mathew
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d8970.118419
Subject(s) - computer science , ontology , consistency (knowledge bases) , software , modular design , information retrieval , data mining , data science , artificial intelligence , programming language , philosophy , epistemology
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