| Popis: |
Proliferation of genomic, diagnostic, medical, and other forms of biological data resulted in categorizing of biological data as bigdata. The low-cost sequencing machinery, even in small research labs, is generating large volumes of data which now needs to be mined for useful biological features and knowledge. In this paper, we have used a NoSQL approach to handle the repeat information of the entire human genome. A total of 12 million repeats have been extracted from the entire human genome and have been stored using MongoDB, a popular NoSQL database. A web application has been developed to query data from the database at ease. It is evident that bioinformaticians tend to shift their database development approach from traditional relational model to novel approaches like NoSQL in order to handle the massive amounts of biological data. |
