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ElasticSearch 1 is an open source search server started by Shay Banon project published in 2010. Its main concepts of use include: index, document, document type, nodes, cluster, shard, and replic [Kuc and Rogozinski 2013]. In this technology the records do not use the usual normalization of tables because the tool structure is designed to have superior search performance. Databases like NoSQL and MongoDB also operate in a very similar way. When it is necessary to analyze large volumes of data, Bioinformatics acts as a multidisciplinary field that integrates knowledge from different areas. Its applicability goes from the analysis of biological data to the construction of tools and methodologies that allow the use of the computer for tasks usually laboratory. An important fact in this issue was the advent of the Human Genome 2 Project (HGP) and the subsequent availability of the data obtained for the entire scientific community [Pennisi 2001]. With this, the search for results in viable processing time has become a great challenge among bioinformatics, especially with regard to genomic data[Alencar 2010].

<span>Optimizing queries via search server ElasticSearch: a study applied to large volumes of genomic data</span>