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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 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 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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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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A comprehensive resource for retrieving, visualizing, and integrating functional genomics data.

Matthias Blum1, Pierre-Etienne Cholley1, Valeriya Malysheva1

  • 1Department of Functional Genomics and Cancer, Institut de Génétique et de Biologie Moléculaire et Cellulaire, Equipe Labelisée Ligue Contre le Cancer, Illkirch, France.

Life Science Alliance
|December 11, 2019
PubMed
Summary
This summary is machine-generated.

qcGenomics offers a user-friendly online resource for rapid analysis of functional genomics data. It simplifies accessing and comparing large datasets, enabling new biological insights from DNA interactions and chromatin modifications.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Vast amounts of functional genomics data are publicly available.
  • Analyzing this data requires significant computational resources and expertise for reprocessing, quality control, and processing.
  • Current methods for large-scale comparative analysis are often labor-intensive.

Purpose of the Study:

  • To present qcGenomics, a novel online resource for functional genomics data analysis.
  • To provide a user-friendly platform for ultrafast data retrieval, visualization, and comparative analysis.
  • To facilitate the extraction of new functional insights from multidimensional genomics datasets.

Main Methods:

  • Development of a user-friendly online resource (qcGenomics).
  • Implementation of ultrafast data retrieval and visualization tools.
  • Integration of quality assessment and data processing pipelines for large-scale genomics datasets.

Main Results:

  • qcGenomics enables efficient access to tens of thousands of genomics datasets.
  • The platform supports both global and focused multidimensional data integration.
  • Facilitates comparative analyses for interrogating DNA-interacting players and chromatin modifications.

Conclusions:

  • qcGenomics significantly lowers the barrier to entry for analyzing large-scale functional genomics data.
  • The resource empowers researchers to gain new biological insights through simplified data integration and analysis.
  • It represents a valuable tool for advancing research in genomics and related fields.