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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...
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...
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.
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.
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.
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...

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Related Experiment Video

Updated: May 10, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

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

Published on: May 22, 2018

Genome Maps, a new generation genome browser.

Ignacio Medina1, Francisco Salavert, Rubén Sanchez

  • 1Department of Computational Genomics, Centro de Investigación Príncipe Felipe, Valencia 46012, Spain.

Nucleic Acids Research
|June 11, 2013
PubMed
Summary
This summary is machine-generated.

Genome Maps is a new genome browser that uses HTML5 technologies for efficient data management and visualization. It allows real-time client-side viewing of large genomic data files, improving accessibility and privacy.

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Related Experiment Videos

Last Updated: May 10, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
09:10

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

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Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome browsers are essential tools for analyzing the increasing volume of genomic data.
  • Conventional genome browsers face efficiency challenges due to new generation sequencing technologies.
  • There is a need for scalable and efficient genome visualization tools.

Purpose of the Study:

  • To introduce Genome Maps, an innovative genome browser designed for enhanced efficiency and scalability.
  • To present a novel data transfer and management model for genome visualization.
  • To facilitate the integration of diverse genomic data types and local file uploads.

Main Methods:

  • Implementation of HTML5 technologies, including Scalable Vector Graphics (SVG), for optimized server and client-side performance.
  • Development of a browser-based data management and representation system, eliminating the need for plug-ins like Java Applets or Flash.
  • Integration of web services for biological data tracks (genes, transcripts, SNPs, etc.) and support for local upload of large genomic files (VCF, BAM).

Main Results:

  • Genome Maps demonstrates improved efficiency in handling large genomic datasets compared to conventional browsers.
  • The browser enables dynamic, real-time visualization of locally uploaded genomic data, enhancing privacy for medical data.
  • Seamless integration into existing web applications is achieved with minimal code.
  • Genome Maps supports a wide range of biological data types and includes DAS server integration.

Conclusions:

  • Genome Maps offers a scalable, efficient, and user-friendly solution for modern genome browsing.
  • Its innovative approach overcomes the limitations of traditional genome browsers, particularly with large datasets.
  • The open-source nature and ease of integration promote collaborative development and widespread adoption in genomic research and applications.