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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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Related Experiment Video

Updated: Jul 5, 2026

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes

Published on: May 22, 2018

Using Apollo to browse and edit genome annotations.

Sima Misra¹, Nomi Harris¹

¹University of California, Berkeley, California.

Current Protocols in Bioinformatics

|April 23, 2008

Summary

This summary is machine-generated.

Apollo is a genome browser and editor that helps biologists manage genomic sequence annotations. It allows for easy access to sequence analysis data, experimental evidence integration, and gene model editing.

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Genomic annotations (e.g., exons, transcripts) require continuous updates as biological knowledge expands.
Integrating diverse data sources is crucial for comprehensive sequence analysis and experimental design.

Purpose of the Study:

To introduce the Apollo genome browser and editor as a tool for managing genomic annotations.
To enable biologists to access, edit, and integrate various types of genomic sequence data.

Main Methods:

Utilizing Apollo for browsing diverse computational evidence, including sequence alignments and BLAST search similarities.
Employing Apollo to create and edit gene models and other genomic features using computational and experimental data.
Describing protocols for data loading from different sources and annotation editing.

Main Results:

Apollo facilitates the display of various computational evidence types.
Biologists can create and refine gene models by integrating different data sources within Apollo.
The tool supports the modification and addition of genomic annotations.

Conclusions:

Apollo provides essential capabilities for biologists to manage and analyze genomic annotation data.
The platform enhances experimental design by enabling easy access to integrated sequence analysis information.