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Identification is achieved by comparing the substrate reaction patterns of the test isolate with those stored in the database.
In case of one-dimensional heterogeneity, identification is achieved under natural monotonicity assumptions.
Finally, drawing support from LSSVM, the fault identification is achieved.
Peptide identification is achieved using ABI's Interrogator™ search algorithm.
Identification was achieved by matching with chromatogram of standards.
All data were processed automatically by means of Protein Lynx software, protein identification was achieved by analysis with ProteinLynx Global Server version 1.0.
Protein identification was achieved by comparison with the Swiss-Prot protein sequence database (ftp://ftp.ncbi.nih.gov/blast/db/FASTA/) using the SEQUEST algorithm [ 17].
The phase identification was achieved by comparing the sample diffraction pattern with standard cards in ICDD-JCPDS database.
Metabolite identification was achieved by comparing the obtained urine spectra with spectral databases containing spectra of standard compounds, including the database B-BIOREFCODE (Bruker BioSpin) and additional in-house reference compounds.
Final identification was achieved by comparing the almost complete 16S rDNA sequence with homologous sequences deposited in GenBank.
The identification was achieved by comparing the relative retention times of sample peaks with standards.
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