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Related Concept Videos

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

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Related Experiment Video

Updated: May 20, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

A novel hierarchical clustering algorithm for gene sequences.

Dan Wei1, Qingshan Jiang, Yanjie Wei

  • 1Cognitive Science Department & Fujian Key Laboratory of the Brain-like Intelligent Systems, Xiamen University, Xiamen, China.

BMC Bioinformatics
|July 25, 2012
PubMed
Summary
This summary is machine-generated.

A new alignment-free algorithm, mBKM, effectively clusters DNA sequences using a novel distance measure, DMk. This bioinformatics tool aids in classifying genes and uncovering sequence relationships for biological analysis.

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

Published on: December 7, 2021

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Last Updated: May 20, 2026

Novel Sequence Discovery by Subtractive Genomics
09:40

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Published on: January 25, 2019

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
08:03

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

Published on: December 7, 2021

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Clustering DNA sequences into functional groups is crucial in bioinformatics.
  • Existing methods may lack efficiency or accuracy in certain applications.
  • Novel approaches are needed for robust DNA sequence analysis.

Purpose of the Study:

  • To introduce a novel alignment-free algorithm, mBKM, for DNA sequence clustering.
  • To present a new distance measure, DMk, for quantifying sequence similarity.
  • To evaluate the effectiveness of mBKM in classifying functionally related genes.

Main Methods:

  • Transformation of DNA sequences into feature vectors based on k-tuple properties (occurrence, location, order).
  • Application of a hierarchical clustering procedure utilizing these feature vectors.
  • Development of a new distance measure, DMk, for sequence comparison.

Main Results:

  • The mBKM algorithm demonstrated effectiveness in classifying DNA sequences with similar biological characteristics.
  • Phylogenetic analysis using mBKM revealed underlying relationships among sequences.
  • Comparative studies showed mBKM's performance against established tools like BlastClust and CD-HIT-EST.

Conclusions:

  • A novel clustering algorithm, mBKM, based on the DMk similarity measure was successfully developed.
  • The method is effective for classifying DNA sequences based on biological characteristics.
  • mBKM aids in discovering intricate relationships within DNA sequence datasets.