The leverage of high-throughput technologies in biology area brings the academia and industry an enormous amount of “omics” data. These data include genomics data and proteomics data. In this chapter we consider mostly on the genomics data. Benefited from the development of “Big Data” area and also the domain knowledge driven by genomics data, two subsequent areas including precision medicine and cancer genomics, are discussed in this chapter. Meanwhile, we consider genomics data from the “Big Data” landscape and give a comprehensive “life cycle” on these data. Two significant and state-of-the-art cases in genomics data study are also presented. These two cases, which are ENCODE and CGHub, show inspiring and interesting results by the integration of big data analytics technology in genomics data. As the life science, biomedicine and health care sectors are at a turning point into data intensive science. Since we could benefit from the overwhelming genomics data, big data analytics shows us a promising potential to deliver a better understanding and improvement of our life.
|Title of host publication||Big Data Management and Processing|
|Editors||Kuan-Ching Li, Hai Jiang, Albert Y. Zomaya|
|Number of pages||22|
|Publication status||Published - 2017|