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Related Concept Videos

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...
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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 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.
GWAS does not require the identification of the target gene involved in...

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

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Published on: December 13, 2024

The Genomic HyperBrowser: an analysis web server for genome-scale data.

Geir K Sandve1, Sveinung Gundersen, Morten Johansen

  • 1Department of Informatics, University of Oslo, PO Box 1080, Blindern, 0316 Oslo, Norway.

Nucleic Acids Research
|May 2, 2013
PubMed
Summary
This summary is machine-generated.

Genomic HyperBrowser analyzes large genomic datasets as genomic tracks. This web server offers customizable tools for investigating gene regulation, disease association, and epigenetic modifications.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • The increasing volume of genomic data from projects like ENCODE and Roadmap Epigenomics offers research opportunities.
  • Analyzing and interpreting large-scale genomic datasets presents a significant challenge for researchers.
  • Genomic tracks, representing feature-specific coordinates, are a powerful method for visualizing genome-scale data.

Purpose of the Study:

  • To introduce the Genomic HyperBrowser, a web server designed for analyzing genomic track data.
  • To provide researchers with a platform for posing and investigating novel biological questions using genome-scale datasets.

Main Methods:

  • The Genomic HyperBrowser utilizes customizable components for processing and statistical analysis of genomic tracks.
  • It supports the analysis of data represented as feature-specific coordinates relative to reference genome assemblies.

Main Results:

  • The HyperBrowser facilitates a wide range of genomic investigations.
  • It enables exploration of topics such as gene regulation, disease association, and epigenetic modifications.

Conclusions:

  • The Genomic HyperBrowser is a valuable open-ended resource for researchers working with genomic track data.
  • It empowers novel biological discoveries through advanced analysis of genome-scale datasets.