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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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Skeletal Muscle Gender Dimorphism from Proteomics
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ICBdocker: a Docker image for proteome annotation and visualization.

Nicola Bordin1, Damien P Devos1

  • 1Laboratory of Evolutionary Innovations, Centro Andaluz de Biologia del Desarollo, CSIC, Universidad Pablo de Olavide, Carretera de Utrera, Seville, Spain.

Bioinformatics (Oxford, England)
|June 23, 2018
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Summary
This summary is machine-generated.

ICBdocker provides a Dockerized environment for annotating proteome features using a Python/Perl pipeline. This scalable tool facilitates data analysis and web-resource creation for research groups studying specific organisms or datasets.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Proteomics

Background:

  • Accurate annotation of proteome functional and structural features is crucial for biological research.
  • Existing tools may lack modularity, scalability, or ease of integration with high-performance computing.

Purpose of the Study:

  • To introduce ICBdocker, a Dockerized environment for streamlined proteome feature annotation.
  • To provide a scalable and modular pipeline for data analysis and web-resource generation.

Main Methods:

  • Development of a Docker environment integrating Python/Perl scripting.
  • Implementation of a pipeline for functional and structural proteome annotation.
  • Integration with DataTables for creating web-resources and outputting results as TSV and HTML files.

Main Results:

  • ICBdocker enables efficient annotation of proteome features.
  • The environment supports the creation of accessible web-resources for collaborative research.
  • Results are readily available for further data analysis and browsing.

Conclusions:

  • ICBdocker offers a flexible, scalable, and accessible solution for proteome annotation.
  • The tool enhances data sharing and analysis capabilities for research groups.
  • Its modular design allows for integration with advanced computing infrastructures.