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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

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...
Genetic Screens02:46

Genetic Screens

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.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Background and Environment Affect Phenotype02:27

Background and Environment Affect Phenotype

Although the genetic makeup of an organism plays a major role in determining the phenotype, there are also several environmental factors, such as temperature, oxygen availability, presence of mutagens, that can alter an organism’s phenotype.
An example of how genetic background affects phenotype can be seen in horses. The Extension gene in horses is responsible for their coat color. A wild-type gene (EE) produces black pigment in the coat, while a mutant gene (ee) produces red pigment. A...
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
Genomics02:02

Genomics

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...
Incomplete Dominance01:43

Incomplete Dominance

Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.

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Related Experiment Video

Updated: May 10, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
09:37

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information

Published on: August 15, 2019

Towards a database for genotype-phenotype association research: mining data from encyclopaedia.

Vesna S Pajić1, Gordana M Pavloviç-Lazetić, Milos V Beljanski

  • 1University of Belgrade, Faculty of Agriculture, Nemanjina 6, Zemun, Belgrade 11080, Serbia. svesna@agrif.bg.ac.rs

International Journal of Data Mining and Bioinformatics
|June 20, 2013
PubMed
Summary

We developed a novel method to extract microbial genotype and phenotype data from text, creating a comprehensive database for biological research. This resource aids in understanding genotype-phenotype associations.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Genomics

Background:

  • Linking an organism's traits (phenotype) to its genetic makeup (genotype) requires well-organized data.
  • Existing data resources may lack the structure needed for comprehensive genotype-phenotype association studies.

Purpose of the Study:

  • To develop and evaluate a novel text-mining method for extracting microbial genotype and phenotype data.
  • To create a structured, flexible database of microbial genotype and phenotype information.
  • To establish a reliable resource for future research on genotype-phenotype associations.

Main Methods:

  • Utilized a comprehensive encyclopedia of microorganisms as the data source.
  • Developed a novel text-mining approach to extract phenotypic and genotypic characteristics.
  • Structured the extracted data into a flexible format, exportable to various database types.

Main Results:

  • Created a database containing genotype and phenotype data for 2412 species and 873 genera of microbes.
  • The data extraction method was evaluated for its effectiveness and reliability.
  • The resulting database is well-structured and flexible for diverse research applications.

Conclusions:

  • The novel text-mining method provides a reliable way to extract microbial genotype and phenotype data.
  • The created database serves as a valuable complementary resource for genotype-phenotype association research.
  • This structured data resource has significant potential for advancing biological research.