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Related Concept Videos

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...
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...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
Karyotyping01:17

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...

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Related Experiment Video

Updated: Jun 12, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

CisGenome Browser: a flexible tool for genomic data visualization.

Hui Jiang1, Fan Wang, Nigel P Dyer

  • 1Department of Statistics, Stanford University, Stanford, CA 94305, USA. jiangh@stanford.edu

Bioinformatics (Oxford, England)
|June 2, 2010
PubMed
Summary
This summary is machine-generated.

We developed CisGenome Browser, an open-source tool for genomic data visualization. This platform-independent browser aids in analyzing ultra high-throughput sequencing data and facilitates lab data sharing.

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

Published on: May 22, 2018

Related Experiment Videos

Last Updated: Jun 12, 2026

Introductory Analysis and Validation of CUT&RUN Sequencing Data
04:58

Introductory Analysis and Validation of CUT&RUN Sequencing Data

Published on: December 13, 2024

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

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genomic data analysis requires effective visualization tools.
  • Existing tools may lack flexibility or specific features for high-throughput sequencing data.

Purpose of the Study:

  • To introduce CisGenome Browser, a versatile and open-source tool for genomic data visualization.
  • To provide a platform-independent solution that integrates with existing data analysis programs.
  • To offer specialized features for visualizing ultra high-throughput sequencing data.

Main Methods:

  • Development of an open-source, platform-independent software tool.
  • Implementation as a standalone genome browser.
  • Functionality as a light-weight web server for data sharing.

Main Results:

  • CisGenome Browser provides flexible genomic data visualization.
  • The tool is compatible with various data analysis programs.
  • It serves as a standalone genome browser and facilitates inter-laboratory data sharing.
  • Features are optimized for ultra high-throughput sequencing data.

Conclusions:

  • CisGenome Browser is a flexible, open-source component for genomic data visualization.
  • It enhances data sharing capabilities through its web server functionality.
  • The browser is particularly useful for analyzing ultra high-throughput sequencing data.