Hampikian Greg, Andersen Tim
Biology, Boise State University, 1910 N University Drive, Boise, Idaho 83725, USA.
Pac Symp Biocomput. 2007:355-66. doi: 10.1142/9789812772435_0034.
We describe a new publicly available algorithm for identifying absent sequences, and demonstrate its use by listing the smallest oligomers not found in the human genome (human "nullomers"), and those not found in any reported genome or GenBank sequence ("primes"). These absent sequences define the maximum set of potentially lethal oligomers. They also provide a rational basis for choosing artificial DNA sequences for molecular barcodes, show promise for species identification and environmental characterization based on absence, and identify potential targets for therapeutic intervention and suicide markers.
我们描述了一种新的可公开获取的用于识别缺失序列的算法，并通过列出人类基因组中未发现的最小寡聚物（人类“空聚物”）以及任何已报道的基因组或GenBank序列中未发现的寡聚物（“素聚物”）来展示其用途。这些缺失序列定义了潜在致死性寡聚物的最大集合。它们还为选择用于分子条形码的人工DNA序列提供了合理依据，基于缺失情况在物种鉴定和环境特征描述方面显示出前景，并确定了治疗干预和自杀标记的潜在靶点。
