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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.
GWAS does not require the identification of the target gene involved in...
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OmicsAnalyst: a comprehensive web-based platform for visual analytics of multi-omics data.

Guangyan Zhou1, Jessica Ewald2, Jianguo Xia1,3

  • 1Institute of Parasitology, McGill University, Montreal, Quebec, Canada.

Nucleic Acids Research
|May 21, 2021
PubMed
Summary
This summary is machine-generated.

OmicsAnalyst is a new web platform simplifying multi-omics data integration. It offers visual analytics for correlation networks, cluster heatmaps, and dimension reduction, making complex analyses accessible.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Data Science

Background:

  • Multi-omics studies generate vast datasets, posing significant challenges in data analysis and interpretation.
  • Current analytical methods often lack user-friendliness and integrated visualization tools, creating a bottleneck in research.

Purpose of the Study:

  • To introduce OmicsAnalyst, a web-based platform designed to streamline multi-omics data integration and analysis.
  • To provide researchers with accessible, visually driven tools for exploring complex multi-omics datasets.

Main Methods:

  • OmicsAnalyst organizes data analysis into three visual analytics tracks: correlation network analysis, cluster heatmap analysis, and dimension reduction analysis.
  • Users can select from various univariate and multivariate methods, multi-view clustering algorithms, and dimension reduction techniques.
  • The platform features interactive 2D/3D network visualizations, heatmaps, and scatter plots for exploring results.

Main Results:

  • OmicsAnalyst facilitates the integration of diverse multi-omics data through user-friendly visual analytics.
  • The platform enables effective identification of important features and exploration of relationships within complex datasets.
  • Interactive visualizations aid in understanding global data structures and specific feature patterns.

Conclusions:

  • OmicsAnalyst significantly lowers the barrier to entry for performing advanced multi-omics integration and analysis.
  • The platform empowers researchers to visually explore and interpret complex multi-omics data more effectively.
  • OmicsAnalyst is freely available, promoting wider adoption and advancement in the field.