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Related Concept Videos

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

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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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Multiprotein signaling complexes are formed in a dynamic process involving protein-protein interactions at the cytoplasmic domain of transmembrane receptors or enzymatic and non-enzymatic proteins associated with the receptor. These complexes ensure the activation and propagation of intracellular signals that regulate cell functions.
Interaction domains in cell signaling
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Proteins can form homomeric complexes with another unit of the same protein or heteromeric complexes with different types.  Most protein complexes self-assemble spontaneously via ordered pathways, while some proteins need assembly factors that guide their proper assembly. Despite the crowded intracellular environment, proteins usually interact with their correct partners and form functional complexes.
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Protein glycosylation starts in the ER lumen and continues in the Golgi apparatus. Glycosyltransferases catalyze the addition of sugar molecules or glycosylation of proteins. Usually, these enzymes add sugars to the hydroxyl groups of selected serine or threonine residues to form O-linked glycans or the amino groups of asparagine residues to form N-linked glycans. Different positions on the same polypeptide chain can contain differently linked glycans.
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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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Related Experiment Video

Updated: May 6, 2026

Hybrid De Novo Genome Assembly for the Generation of Complete Genomes of Urinary Bacteria using Short- and Long-read Sequencing Technologies
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AutoAssemblyD: a graphical user interface system for several genome assemblers.

Adonney Allan de Oliveira Veras1, Pablo Henrique Caracciolo Gomes de Sá, Vasco Azevedo

  • 1Institute of Biological Sciences, Federal University Pará, Belém, Pará, Brazil.

Bioinformation
|October 22, 2013
PubMed
Summary
This summary is machine-generated.

AutoAssemblyD simplifies complex genome assembly processes. This graphical tool enables users without extensive computing experience to manage multiple bioinformatics assemblers, making advanced data analysis more accessible.

Keywords:
BioinformaticsGenome AssemblyNext-generation sequencing

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Area of Science:

  • Bioinformatics and computational biology.
  • Genomics and next-generation sequencing data analysis.

Background:

  • Next-generation sequencing generates vast biological data, necessitating advanced bioinformatics tools.
  • Genome assembly from short reads presents significant computational challenges.
  • Existing command-line assemblers lack user-friendly interfaces, hindering accessibility.

Purpose of the Study:

  • To develop a graphical user interface for genome assembly.
  • To provide a unified platform for managing multiple assembly algorithms.
  • To simplify the use of complex bioinformatics tools for researchers without extensive computational expertise.

Main Methods:

  • Development of AutoAssemblyD, a graphical tool for genome assembly.
  • Integration of multiple existing genome assemblers (e.g., Velvet, Abyss, Bowtie).
  • Utilization of XML templates for managing assembler parameters and submissions.

Main Results:

  • AutoAssemblyD offers a user-friendly graphical interface for genome assembly.
  • The tool facilitates remote management and submission of assembly jobs.
  • XML templates streamline the configuration and execution of various assemblers.

Conclusions:

  • AutoAssemblyD enhances the accessibility of advanced genome assembly techniques.
  • The graphical interface lowers the barrier to entry for computational genomics.
  • This tool empowers researchers to perform complex analyses more efficiently.