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Related Concept Videos

Overview of Advanced Functional Groups02:22

Overview of Advanced Functional Groups


Functional groups are groups of atoms with specific chemical properties that occur within organic molecules and are sometimes denoted as “R”. Functional groups can “functionalize” a compound by enabling it to adopt different physical and chemical properties.
Types of Advanced Functional Groups
The table below summarizes some of the major functional groups in organic chemistry.
Overview of Functional Groups01:19

Overview of Functional Groups

Functional groups are a group of atoms with characteristic properties, which when linked to the carbon skeleton of a molecule, alter the properties of that molecule. For example, certain functional groups will make a molecule hydrophilic, whereas others will make them hydrophobic. These functional groups are an indispensable part of organic chemistry and important components of biological molecules, such as carbohydrates, proteins, lipids, and nucleic acids. Each functional group is a unique...
Functional Groups02:45

Functional Groups

Functional groups are a group of atoms with characteristic properties, which when linked to the carbon skeleton of a molecule, alter the properties of that molecule. For example, the presence of certain functional groups on a molecule will make them hydrophilic, whereas others will make them hydrophobic. These functional groups are an indispensable part of organic chemistry and important components of biological molecules, such as carbohydrates, proteins, lipids, and nucleic acids. Each...
Functional Groups02:45

Functional Groups

Functional groups are a group of atoms with characteristic properties, which when linked to the carbon skeleton of a molecule, alter the properties of that molecule. For example, the presence of certain functional groups on a molecule will make them hydrophilic, whereas others will make them hydrophobic. These functional groups are an indispensable part of organic chemistry and important components of biological molecules, such as carbohydrates, proteins, lipids, and nucleic acids. Each...
Functional Groups02:45

Functional Groups

Functional groups are a group of atoms with characteristic properties, which when linked to the carbon skeleton of a molecule, alter the properties of that molecule. For example, the presence of certain functional groups on a molecule will make them hydrophilic, whereas others will make them hydrophobic. These functional groups are an indispensable part of organic chemistry and important components of biological molecules, such as carbohydrates, proteins, lipids, and nucleic acids. Each...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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Related Experiment Video

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Development of Compendium for Esophageal Squamous Cell Carcinoma
03:36

Development of Compendium for Esophageal Squamous Cell Carcinoma

Published on: April 12, 2024

GOMA: functional enrichment analysis tool based on GO modules.

Qiang Huang1, Ling-Yun Wu, Yong Wang

  • 1Chinese Academy of Sciences, Beijing, People's Republic of China.

Chinese Journal of Cancer
|December 15, 2012
PubMed
Summary

GOMA simplifies gene set enrichment analysis by identifying functional Gene Ontology (GO) modules. This method reduces redundancy in results, offering more biologically meaningful interpretations from high-throughput experiments.

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Area of Science:

  • Systems biology
  • Bioinformatics
  • Genomics

Background:

  • Interpreting high-throughput experimental data requires gene set function analysis.
  • Current enrichment analysis tools often yield redundant results, hindering functional interpretation.
  • A need exists for methods that provide concise and biologically relevant functional insights.

Purpose of the Study:

  • To introduce GOMA, a novel method for gene set enrichment analysis.
  • To address the redundancy issue in current enrichment analysis outputs.
  • To provide more biologically meaningful functional interpretations.

Main Methods:

  • Development of GOMA, a method based on enriched functional Gene Ontology (GO) modules.
  • Systematic identification of functional GO modules using an optimization model.
  • Ranking of GO modules by enrichment scores to prioritize significant findings.

Main Results:

  • GOMA effectively identifies and groups functionally similar GO terms into modules.
  • The method reduces redundancy in enrichment analysis outputs.
  • Results are simplified, leading to clearer and more consistent functional interpretations.

Conclusions:

  • GOMA offers a novel approach to gene set enrichment analysis.
  • The method enhances biological interpretability by reducing result redundancy.
  • GOMA provides a more meaningful way to extract functional insights from complex biological data.