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Related Concept Videos

Genomics02:02

Genomics

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...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.
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...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Genome Size and the Evolution of New Genes03:21

Genome Size and the Evolution of New Genes

While every living organism has a genome of some kind (be it RNA, or DNA), there is considerable variation in the sizes of these blueprints. One major factor that impacts genome size is whether the organism is prokaryotic or eukaryotic. In prokaryotes, the genome contains little to no non-coding sequence, such that genes are tightly clustered in groups or operons sequentially along the chromosome. Conversely, the genes in eukaryotes are punctuated by long stretches of non-coding sequence.

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Related Experiment Video

Updated: Jul 19, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
06:38

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Panoptes: web-based exploration of large scale genome variation data.

Paul Vauterin1, Ben Jeffery1, Alistair Miles1,2

  • 1MRC Centre for Genomics and Global Health, University of Oxford, Oxford OX3 7BN, UK.

Bioinformatics (Oxford, England)
|October 14, 2017
PubMed
Summary

Panoptes is a new open-source framework for exploring large-scale genome variation data. This user-friendly tool enables collaborative visual analysis of complex genomic datasets in a web browser.

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Last Updated: Jul 19, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
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08:03

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale genome variation studies generate complex data.
  • Existing methods for data exploration are insufficient for broad scientific access.
  • A unified, user-friendly framework is needed to unlock the potential of genomic variation data.

Purpose of the Study:

  • To introduce Panoptes, an open-source software framework.
  • To enable collaborative visual exploration of large-scale genome variation data.
  • To provide a user-friendly and coherent platform for diverse scientific expertise.

Main Methods:

  • Developed an open-source software framework named Panoptes.
  • Utilized technology choices for near real-time performance on large datasets.
  • Integrated interactive visual analytics for data exploration.
  • Applied the framework to genome variation data from Anopheles gambiae, Plasmodium falciparum, and Plasmodium vivax.

Main Results:

  • Panoptes facilitates collaborative visual exploration of genome variation data.
  • The framework operates efficiently on very large datasets in near real-time.
  • It allows coherent browsing of rich, hybrid content.
  • Interactive visual analytics aid in data exploration.

Conclusions:

  • Panoptes provides an accessible and coherent framework for exploring large-scale genome variation data.
  • The software enhances collaborative analysis and data sharing among scientists.
  • Its efficient performance and interactive features support diverse research needs.