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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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...
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The present-day mitochondrial and chloroplast genomes have retained some of the characteristics of their ancestral prokaryotes and also have acquired new attributes during their evolution within eukaryotic cells. Like prokaryotic genomes, mitochondrial and chloroplast genomes neither bind with histone-like proteins nor show complex packaging into chromosome-like structures, as observed in eukaryotes. Unlike mitotic cell divisions observed in eukaryotic cells, mitochondria and chloroplasts...
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Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
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Panache: a web browser-based viewer for linearized pangenomes.

Éloi Durant1,2,3,4, François Sabot1,4, Matthieu Conte2

  • 1DIADE, Univ Montpellier, CIRAD, IRD, Montpellier 34830, France.

Bioinformatics (Oxford, England)
|October 3, 2021
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Summary
This summary is machine-generated.

Panache visualizes eukaryotic pangenomes using a user-friendly linear layout. This tool aids in exploring gene and sequence presence/absence variations for better pangenomic analysis.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Pangenomics has evolved from studying bacterial populations to encompassing all available sequences.
  • Developing efficient visualization tools for eukaryotic pangenomes remains a challenge.
  • While graph representations are emerging, linear visualizations offer user-friendliness.

Purpose of the Study:

  • To introduce Panache, a novel tool for visualizing and exploring linear representations of pangenomes.
  • To address the gap in user-friendly visualization tools for eukaryotic pangenomics.

Main Methods:

  • Panache utilizes a linear layout, similar to genome browsers.
  • It displays gene-based and sequence-based pangenome data.
  • Presence/absence variations and additional tracks are presented along a linear axis.

Main Results:

  • Panache provides an effective method for visualizing pangenomic data.
  • The tool facilitates exploration of presence/absence variations in a linear format.
  • It offers a pangenomic perspective within a familiar genome browser-like interface.

Conclusions:

  • Panache enhances the exploration and understanding of eukaryotic pangenomes.
  • The tool's linear representation offers a user-friendly approach to complex pangenomic data.
  • Panache is readily available for the research community.