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Related Concept Videos

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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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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Generating a genome assembly with PCAP.

Xiaoqiu Huang1, Shiaw-Pyng Yang

  • 1Iowa State University, Ames, Iowa, USA.

Current Protocols in Bioinformatics
|April 23, 2008
PubMed
Summary

This guide details using the Parallel Contig Assembly Program (PCAP) for whole-genome shotgun sequencing assembly. It provides protocols for both multiprocessor and distributed cluster computing environments, aiding in genome data analysis.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Whole-genome shotgun sequencing generates vast amounts of data requiring sophisticated assembly methods.
  • Efficiently assembling large genomic datasets is crucial for advancing biological research and understanding complex genomes.

Purpose of the Study:

  • To describe the utilization of the Parallel Contig Assembly Program (PCAP) for assembling whole-genome shotgun sequencing data.
  • To present protocols for PCAP implementation on different computational infrastructures, including multiprocessor computers and distributed clusters.
  • To offer guidance on interpreting the results generated by PCAP.

Main Methods:

  • A basic protocol for employing PCAP on a multiprocessor computer for a 300-Mb genome assembly.

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  • A support protocol detailing the preparation of input files essential for PCAP.
  • A protocol for utilizing PCAP on a distributed cluster of computers for a 3-Gb genome assembly.

    • Main Results:

    • Successful application of PCAP protocols for assembling large-scale genomic data.
    • Demonstrated feasibility of PCAP across diverse computational setups (multiprocessor and distributed clusters).
    • Provided insights into understanding and analyzing PCAP output for genome assembly projects.

    Conclusions:

    • PCAP is an effective tool for assembling whole-genome shotgun sequencing data.
    • The provided protocols facilitate the implementation of PCAP for various genome sizes and computational resources.
    • Effective interpretation of PCAP results is key to successful genome assembly and analysis.