TY - JOUR AU - Shaw, Grace Tzun-Wen AU - Pao, Yueh-Yang AU - Wang, Daryi PY - 2016 DA - 2016/11/25 TI - MetaMIS: a metagenomic microbial interaction simulator based on microbial community profiles JO - BMC Bioinformatics SP - 488 VL - 17 IS - 1 AB - The complexity and dynamics of microbial communities are major factors in the ecology of a system. With the NGS technique, metagenomics data provides a new way to explore microbial interactions. Lotka-Volterra models, which have been widely used to infer animal interactions in dynamic systems, have recently been applied to the analysis of metagenomic data. SN - 1471-2105 UR - https://doi.org/10.1186/s12859-016-1359-0 DO - 10.1186/s12859-016-1359-0 ID - Shaw2016 ER -