Algorithm supports cheaper, quicker microbiome functional assessment

A new algorithm may reduce the need for expensive, time-consuming whole-genome sequencing computations to understand how a microbiome functions. A team led by Jing Gongchao of the Qingdao Institute of BioEnergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences (CAS) and Su Xiaoquan of Qingdao University, published their approach, called Meta-Apo, on Jan. 6 in BMC Genomics.

source https://phys.org/news/2021-01-algorithm-cheaper-quicker-microbiome-functional.html