Hadoop Applications in Bioinformatics

Abstract

Bioinformatics is in a dilemma that traditional analysis tools work hard on the large-scale data from the high-throughout sequencing. In recent years, the open source Apache Hadoop project, which adopts MapReduce framework and distributed file system, brings bioinformatics researchers opportunities to obtain a scalable, efficient and reliable computing performance on Linux clusters and Cloud Computing Service. In this paper, we present Hadoop-based applications employed in bioinformatics, covering next-generation sequencing and other biological domains. In addition, we discuss obstacles and future works about Hadoop in bioinformatics.