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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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Synthetic Biology02:55

Synthetic Biology

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Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
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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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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

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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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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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Introducing CHiDO-A No Code Genomic Prediction software implementation for the characterization and integration of

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Plant breeders can accelerate the development of climate-resilient crops using advanced data integration. The CHiDO platform democratizes access to these powerful analytical tools for global food security.

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Area of Science:

  • Agricultural Science
  • Bioinformatics
  • Genomics

Background:

  • Climate change poses a significant threat to global food security by impacting crop growth conditions.
  • Developing climate-resilient crop varieties is crucial but resource-intensive and time-consuming.
  • Advanced technologies are needed to integrate biological and environmental data for faster breeding cycles.

Purpose of the Study:

  • To introduce CHiDO, a no-code platform for integrating diverse omics datasets and modeling their interactions.
  • To enhance the characterization of phenotypic responses to environmental and genomic factors.
  • To improve the prediction of crop trait performance under changing environmental conditions.

Main Methods:

  • Development of the characterization and integration of driven omics (CHiDO) platform.
  • Integration and processing of diverse omics datasets.
  • User-friendly interface for data exploration, hypothesis formulation, and data collection strategy optimization.

Main Results:

  • CHiDO facilitates the integration of omics data for improved biological signal characterization.
  • The platform enables precise prediction of trait performance under varied weather and soil conditions.
  • CHiDO's design supports exploration of historical data and optimization of future data collection.

Conclusions:

  • CHiDO offers an accessible, no-code solution for complex biological data analysis.
  • The platform democratizes advanced statistical modeling for plant breeding worldwide.
  • CHiDO can accelerate the development and release of climate-resilient crop varieties, enhancing food security.