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Related Experiment Video

Updated: Mar 14, 2026

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

A Novel Bioinformatics Strategy to Analyze Microbial Big Sequence Data for Efficient Knowledge Discovery:

Yuki Iwasaki^1,2, Takashi Abe^3,4, Kennosuke Wada⁵

¹Department of Bioscience, Nagahama Institute of Bio-Science and Technology, Nagahama-shi, Shiga-ken 526-0829, Japan. b105023@nagahama-i-bio.ac.jp.

|October 4, 2016

Summary

Batch-learning SOM (BLSOM) classifies microbial sequences by oligonucleotide composition, aiding metagenomics and virus surveillance. This tool reveals microbial community structures and predicts hazardous virus strains.

Keywords:

SOM big data bioinformatics genome signature influenza virus metagenome microbial community oligonucleotide composition peptide composition

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Published on: September 25, 2021

Area of Science:

Genomics
Bioinformatics
Microbiology

Background:

Genomic data is rapidly increasing, necessitating advanced analytical tools.
Self-organizing maps (SOMs) are effective for high-dimensional data visualization and clustering.
Existing SOMs require modification for efficient analysis of large genomic datasets.

Approach:

Developed batch-learning SOM (BLSOM) for classifying sequence fragments based on oligonucleotide composition.
Constructed large-scale oligonucleotide BLSOMs using known genomic sequences.
Mapped metagenomic sequences onto BLSOMs to predict phylotypes and microbial community structures.

Key Points:

BLSOM enables phylogenetic assignment of metagenomic sequences without prior cultivation.
Identified distinct oligonucleotide compositions in human and avian influenza viruses.
Demonstrated BLSOM's utility in analyzing uncultured microorganisms and viruses.

Conclusions:

BLSOM is a powerful tool for metagenomic analysis and microbial community profiling.
Oligonucleotide composition provides insights into virus evolution and host adaptation.
BLSOM facilitates strategies for predicting viral sequence changes and surveillance of potentially hazardous strains.