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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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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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CGtag: complete genomics toolkit and annotation in a cloud-based Galaxy.

Saskia Hiltemann1, Hailiang Mei, Mattias de Hollander

  • 1Department of Bioinformatics, Erasmus MC, Dr, Molewaterplein 5, 3015 GE Rotterdam, The Netherlands. s.hiltemann@erasmusmc.nl.

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Summary

CGtag offers a user-friendly, cloud-based Galaxy platform for analyzing next-generation sequencing data. This toolkit simplifies variant selection and annotation, making complex genomic analysis accessible to all research scientists.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Complete Genomics offers command-line tools for analyzing sequencing data.
  • Variant annotation requires programming expertise, limiting accessibility for many researchers.
  • A need exists for user-friendly tools for genomic data analysis.

Purpose of the Study:

  • To implement Complete Genomics tools within a cloud-based Galaxy platform.
  • To provide accessible variant annotation and visualization for researchers.
  • To simplify the selection of candidate mutations from sequencing data.

Main Methods:

  • Integrated the open-source Complete Genomics tool set (CGATools) into Galaxy.
  • Incorporated popular command-line annotation and visualization tools.
  • Developed a cloud-based public Galaxy instance for the CGtag toolkit.

Main Results:

  • CGtag provides a web-based interface for analyzing Complete Genomics data.
  • Enabled selection of candidate pathological mutations, including SNVs and indels.
  • Facilitated variant analysis for researchers without extensive command-line experience.

Conclusions:

  • CGtag offers a user-friendly solution for variant selection from various next-generation sequencing platforms.
  • The cloud-based infrastructure ensures adequate computational and storage resources.
  • The toolkit is freely available via a public Galaxy instance or local installation.