Abstract: A drug combination prediction method comprising: storing a plurality of original gene sets, at least one first gene impacted by a first drug and at least one second gene impacted by a second drug; determining the part of the at least one first gene and the part of the at least one second gene to be a first interaction gene set; calculating a gene amount of the first interaction gene set to obtain a first interaction gene amount, and calculating a first percentage generated by the first interaction gene amount in the first original gene set; calculating an interaction value of the combination of the first drug and the second drug according to the first percentage; and selecting at least one synergistic pharmaceutical composition according to the interaction value.

Abstract: A system for analyzing sequencing data of bacterial strains and a method thereof are provided. The method for analyzing sequencing data of bacterial strains includes the following steps: searching a specific variable region of a first genetic sample sequence and searching another specific variable region of a second genetic sample sequence; determining whether both the specific variable region and the another specific variable region have an identical cross-sample subsequence; if both the specific variable region and the another specific variable region have the identical cross-sample subsequence, storing the cross-sample subsequence into a recording table; and if the identical cross-sample subsequence exists, comparing the cross-sample subsequence with a plurality of gene sequences of known strains stored in a database module to analyze a plurality of strains corresponding to the cross-sample subsequence in the first genetic sample sequence and the second genetic sample sequence.