In an era of high-throughput sequencing, drilling of biological data to extract hidden valued information plays an important role in making critical decisions across every branch of science, whether it is genomics or proteomics or metabolomics or personal medicine. For example, the genome sequence of the patients contains much valuable information about the myriad of disease causes, easy extraction of which from the sequences will enable science to develop patient-specific medicine, thereby accelerating curing process and minimizing drug's side effects. Today, true solutions of the several problems in the biological field are hidden in the analysis of exponentially increasing data, so-called Big Data. Big data has become currently hot and open issue for the biological community to handle, collect, store, analyze and manage such vast amount of data. Due to this, the computing Big Data has become the new paradigm of the science and big data in bioinformatics. While, big data is playing central role in the continuity of the progress of research in the biological field, but it presents challenges in terms of scalability, complexity, privacy and security. Big Data in the biological field have revolutionizing power to bring dramatic changes in our current understanding about several solved and unanswered problems. With these emerging big data, bioinformatics field is also evolving continuously. This paper presents the concept of biological big data and its associated challenges in the bioinformatics field which will provides a snapshot of the importance of biological big data in the bioinformatics future research.

Biological Big Data Bioinformatics privacy security