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Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

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A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
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Updated: May 14, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

PolyLens: software for map-based visualisation and analysis of genome-scale polymorphism data.

Michael W Berry1, Tiantian Gao, Ryhan Pathan

  • 1EECS Department, University of Tennessee, Knoxville, TN 37996, USA. berry@eecs.utk.edu

International Journal of Computational Biology and Drug Design
|February 23, 2013
PubMed
Summary
This summary is machine-generated.

PolyLens offers a portable, self-contained software tool for analyzing population genomic data. It visualizes allele frequencies and genealogical lineages geographically, aiding in the examination of organism genome sequences in a spatial context.

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Related Experiment Videos

Last Updated: May 14, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Published on: May 22, 2018

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09:14

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Published on: June 28, 2018

Area of Science:

  • Genomics
  • Bioinformatics
  • Population Genetics

Background:

  • Existing software for geospatial genomic analysis is limited, often web-based, and focuses on limited genetic markers.
  • There is a need for portable, self-contained tools capable of handling large-scale genomic datasets.

Purpose of the Study:

  • To develop a flexible, self-contained software tool for analyzing population genomic data with a geospatial focus.
  • To enable visualization of specific polymorphism frequencies and lineage distributions within large datasets.

Main Methods:

  • Developed PolyLens, a Java-based visual analytical toolkit.
  • Implemented systematic processing of population genomic data.
  • Integrated geospatial display of allele and lineage distributions.

Main Results:

  • PolyLens provides a portable and self-contained solution for population genomic analysis.
  • The tool facilitates the visualization of geographic distributions of genealogical lineages.
  • It enables the display of allele distribution patterns and specific DNA sequence information linked to location.

Conclusions:

  • PolyLens addresses the limitations of current tools by offering a comprehensive, portable solution for geospatial population genomic analysis.
  • The software empowers researchers to explore complex genomic datasets and their spatial relationships effectively.