Comparison of computing time required by different options in the COGNIZER framework.

* All validation experiments were performed on a CentOS (ver. 6.3) server having 64 Intel Xeon dual-core 2.3 Ghz processors and 128 GBs of RAM. Individual options of COGNIZER were executed using 32 CPU threads.# Number within brackets indicates the total number of reads in each of the validation datasets. For oral metagenomes, MG-RAST ids are provided as dataset identifiers.Comparison of computing time required by different options in the COGNIZER framework.* 所有验证实验均在搭载64颗英特尔至强（Intel Xeon）双核2.3GHz处理器、128GB内存的CentOS（版本6.3）服务器上完成。COGNIZER的各独立运行选项均通过32个CPU线程执行。# 括号内的数值代表各验证数据集的总测序读段（reads）数。对于口腔宏基因组样本，采用MG-RAST编号作为数据集标识符。对比COGNIZER框架下不同运行选项所需的计算耗时。