Abstract: Disclosed is a method for selecting a sequence identifier for detecting a target analyte, which is may include: obtaining a plurality of first sequence identifiers found in a first layer at which a target analyte is positioned in a biological taxonomy of organisms having a hierarchical structure, selecting second sequence identifiers among the first sequence identifiers at least partially based on an occurring frequency of the first sequence identifiers in the first layer and an occurring frequency of the first sequence identifiers in a second layer which is a higher layer than the first layer and selecting a third sequence identifier for detecting the target analyte among the second sequence identifiers at least partially based on an occurring frequency of the second sequence identifiers in the first layer and an occurring frequency of the second sequence identifiers in a third layer which is a higher layer than the second layer.

Abstract: The present invention relates to a Faecalibacterium sp. microorganism and a composition for diagnosis or treatment of bowel diseases, comprising same.

Abstract: The present invention relates to a method for identifying and classifying microorganisms included in a sample by using an exact k-mer matching algorithm and a bacterial core gene and, preferably, can more quickly and more accurately analyze the taxonomic composition of a metagenomic sample without bias.

Abstract: The present disclosure relates to a method for obtaining rRNA sequence information, comprising the steps of calling an rDNA sequence from full-length genomic DNA sequence information, assembling the rDNA to form rDNA contigs; and extracting DNA sequence of 16S rRNA having high completeness from the rDNA contigs and correcting an assembly error, and a method for identifying a microorganism, using the rDNA information.