A method for determination of a condition of a sample varying from a control group, comprising the following steps: a) providing a sample comprising at least one specific nucleic acid that has been obtained from a sample source, b) providing a data base comprising at least one data set relating to the specific nucleic acid, which data set indicates the probability for the occurrence of at least one particular abundance of the specific nucleic acid in a control group, c) sequencing the at least one nucleic acid in the sample to determine the identity and abundance of the at least one specific nucleic acid in the sample, d) assigning the identity of the at least one specific nucleic acid determined in step c) to a data set of the data base provided in step b) which data set relates to the same specific nucleic acid determined in step c), e) computing a quantitative indicator for the likelihood of a condition of the sample varying from a control group based on the abundance of the at least one specific nucleic acid of the sample determined according to step c) and the probability for the occurrence of the at least one particular abundance of the same specific nucleic acid provided in step b), wherein the quantitative indicator for a species j is calculated as SIQ j = C j * - (logio(P(X ≥ C j | λ j ))) and P ( X ≥ C j | λ j ) is the p-value to observe at least C j read counts and is calculated with the formula P X ≥ C j | λ j = Σ k ≥ C j e − λ j λ j k k ! ., λ j is a species specific parameter and is calculated with the formula λ j = Σ k = 1 n D k , j n . and C j * is the observed read count of the sample for species j , wherein the condition of a sample varying from a control group is characterized by i) the occurrence or by pathogenic quantities of nucleic acids of at least one viral, bacterial, fungal or parasitic organism, ii) by the occurrence or by above-threshold quantities of rejected cells of an implant, or iii) by the occurrence or by pathogenic quantities of nucleic acids indicative for antibiotic resistance. a) providing a sample comprising at least one specific nucleic acid that has been obtained from a sample source, b) providing a data base comprising at least one data set relating to the specific nucleic acid, which data set indicates the probability for the occurrence of at least one particular abundance of the specific nucleic acid in a control group, c) sequencing the at least one nucleic acid in the sample to determine the identity and abundance of the at least one specific nucleic acid in the sample, d) assigning the identity of the at least one specific nucleic acid determined in step c) to a data set of the data base provided in step b) which data set relates to the same specific nucleic acid determined in step c), e) computing a quantitative indicator for the likelihood of a condition of the sample varying from a control group based on the abundance of the at least one specific nucleic acid of the sample determined according to step c) and the probability for the occurrence of the at least one particular abundance of the same specific nucleic acid provided in step b), wherein the quantitative indicator for a species j is calculated as SIQ j = C j * - (logio(P(X ≥ C j | λ j ))) and P ( X ≥ C j | λ j ) is the p-value to observe at least C j read counts and is calculated with the formula P X ≥ C j | λ j = Σ k ≥ C j e − λ j λ j k k ! ., λ j is a species specific parameter and is calculated with the formula λ j = Σ k = 1 n D k , j n . and C j * is the observed read count of the sample for species j , <EOS>