计算生物学
深度测序
软件
生物
计算机科学
遗传学
基因
基因组
程序设计语言
作者
Aleksandar D. Kostic,Akinyemi I. Ojesina,Chandra Sekhar Pedamallu,Joonil Jung,Roel G.W. Verhaak,Gad Getz,Matthew Meyerson
摘要
Many human diseases are believed to be caused by undiscovered pathogens1–3. The advent of next-generation sequencing technology presents an unprecedented opportunity to identify pathogens in hitherto idiopathic diseases. Here we present PathSeq, a highly scalable software tool that performs computational subtraction on high-throughput sequencing data to identify non-human nucleic acids that may indicate candidate microbes. PathSeq exhibits high sensitivity and specificity in its ability to discriminate human from non-human sequences using both simulated and experimental transcriptome and whole-genome sequencing data. PathSeq is implemented in a cloud computing environment making it readily accessible by the scientific community.
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