A novel approach for alignments output storage problem facing clinical scenarios

With ever-developing sequencing technologies, gaps between sequence mapping research work and commercial applications in clinical scenario are narrowing. However, the storage problem of alignment results is still a big challenge remained. From both storage and application perspectives, traditional approaches in alignments output files still leave much to be desired. In this paper, we try to explore on the above issues and propose a novel idea to tackle the alignments output storage problem under clinical scenarios. Experimental results show that when the coverage goes high, our method has an obvious advantage over BAM file. In addition, our method outperforms BAM file on the genomic position query on reads.