Compression of Next Generation Sequencing Data

Ö. U. Nalbantoğlu, A. Riffle, K. Sayood
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Abstract

Summary form only given. FASTQ is the defacto standard for data from next generation sequencing platforms. The FASTQ format uses four lines per read: two lines for header information, one for the sequence itself, and one for the quality scores. The proposed compression scheme treats the various lines of each four line set differently. The highly repetitive headers are encoded using an LZ77 variant. The reads themselves are compressed using a modified LZ78 method which uses a backward adaptive dictionary. The quality factors are encoded using a context based arithmetic coding scheme. Performance results for the proposed method were obtained using data generated via a sequencing simulation of a random 50kbp section from Escherichia coli str. K-12 substr. DH10B chromosome with 35X and 100X coverages. The two best performing methods for FASTQ compression, Fastqz and Fqzcomp were used to compress the same data. These methods performed the best in a competition to compress next generation sequencing data. We also compare the results to two general purpose compressors bzip and LZMA. The results are shown in Table.
下一代测序数据的压缩
只提供摘要形式。FASTQ是下一代测序平台数据的事实上的标准。FASTQ格式每次读取使用四行:两行用于标题信息,一行用于序列本身,另一行用于质量分数。所提出的压缩方案以不同的方式处理每个四行集的各个行。高度重复的报头使用LZ77变体进行编码。读取本身使用修改后的LZ78方法进行压缩,该方法使用向后自适应字典。使用基于上下文的算术编码方案对质量因子进行编码。该方法的性能结果是通过对大肠杆菌str. K-12的随机50kbp切片进行测序模拟得到的数据。DH10B染色体35X和100X的覆盖率。使用Fastqz和Fqzcomp两种性能最好的FASTQ压缩方法来压缩相同的数据。这些方法在压缩下一代测序数据的竞争中表现最好。我们还将结果与两个通用压缩器bzip和LZMA进行了比较。结果如表所示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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