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Related Concept Videos

Genomics02:02

Genomics

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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-wide Association Studies-GWAS01:11

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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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Genetic Screens02:46

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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.
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Evolutionary Relationships through Genome Comparisons02:54

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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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Next-generation Sequencing03:00

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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.
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DNA Microarrays02:34

DNA Microarrays

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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...
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Updated: Mar 21, 2026

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
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Integrated genome browser: visual analytics platform for genomics.

Nowlan H Freese1, David C Norris1, Ann E Loraine1

  • 1Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Kannapolis, NC 28081, USA.

Bioinformatics (Oxford, England)
|May 7, 2016
PubMed
Summary
This summary is machine-generated.

Integrated Genome Browser (IGB) is an open-source desktop tool for visualizing and analyzing genomic data. Updates enhance high-throughput sequencing data visualization and integration with diverse data sources.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Genome browsers are essential for navigating large biological datasets and gaining insights.
  • Existing tools may lack comprehensive features for modern high-throughput sequencing data analysis.

Purpose of the Study:

  • To introduce significant updates to the Integrated Genome Browser (IGB).
  • To enhance IGB's capabilities for visualizing and interacting with high-throughput sequencing data.
  • To improve data integration from various sources for comprehensive genomic analysis.

Main Methods:

  • Developed and updated the Integrated Genome Browser (IGB) software.
  • Implemented new functionalities for displaying and interacting with RNA-Seq, ChIP-Seq, and bisulfite sequencing data.
  • Enhanced IGB's data consumption from sources like Galaxy and annotation servers.
  • Transformed the codebase into a modular and extensible platform for developers.

Main Results:

  • IGB now supports advanced visualization and interaction with high-throughput sequencing data.
  • Demonstrated example analyses for RNA-Seq, ChIP-Seq, and bisulfite sequencing datasets.
  • Improved data integration capabilities from diverse genomic data sources.
  • Created a flexible platform for developing new genomic data visualizations.

Conclusions:

  • The updated IGB provides enhanced capabilities for analyzing complex genomic datasets.
  • IGB's modular design supports future development and the integration of new genomic assays.
  • The open-source nature of IGB ensures broad accessibility for the scientific community.