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Related Concept Videos

Proteomics01:33

Proteomics

7.4K
A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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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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Updated: Apr 22, 2026

Mass Spectrometry-Based Proteomics Analyses Using the OpenProt Database to Unveil Novel Proteins Translated from Non-Canonical Open Reading Frames
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ProteoAnnotator--open source proteogenomics annotation software supporting PSI standards.

Fawaz Ghali1, Ritesh Krishna, Simon Perkins

  • 1Institute of Integrative Biology, University of Liverpool, Liverpool, UK.

Proteomics
|October 10, 2014
PubMed
Summary
This summary is machine-generated.

Proteogenomics accelerates genome annotation by integrating mass spectrometry data. We present ProteoAnnotator, an open-source pipeline simplifying gene structure determination and improving genome models.

Keywords:
Open sourceProteoAnnotatorProteogenomicsProteomics Standards InitiativemzIdentML

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Area of Science:

  • Genomics and Proteomics
  • Bioinformatics and Computational Biology

Background:

  • Genome sequencing advancements necessitate improved gene structure determination.
  • Proteogenomics, integrating mass spectrometry (MS) data, is crucial for accurate gene annotation but faces technical challenges.
  • Existing proteogenomic pipelines are complex and lack standardization.

Purpose of the Study:

  • To introduce ProteoAnnotator, a comprehensive, open-source proteogenomic pipeline.
  • To address the bottleneck in genome annotation by leveraging MS experimental data.
  • To provide a user-friendly and modular tool for gene structure validation and correction.

Main Methods:

  • Development of an integrated, open-source proteogenomic pipeline (ProteoAnnotator) with a graphical user interface.
  • Implementation of the Proteomics Standards Initiative mzIdentML standard across all analysis stages.
  • Creation of novel modules for multi-database processing, peptide-level statistics, and genomic locus-matched protein identification scoring.
  • Development of a module for mapping analysis results back to the genome.

Main Results:

  • ProteoAnnotator successfully integrates complex proteogenomic analysis modules.
  • The pipeline facilitates statistically sound validation of gene model updates.
  • New modules enhance data processing, statistical analysis, and genomic mapping.
  • The open-source nature allows for reusability of the entire pipeline or individual components.

Conclusions:

  • ProteoAnnotator offers a robust, open-source solution to streamline proteogenomic analysis for improved genome annotation.
  • The pipeline's modular design and adherence to standards enhance its utility and reusability.
  • This tool facilitates more accurate gene structure determination, advancing our understanding of biological systems.