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Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...
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Omics Metadata Management Software (OMMS).

Martha O Perez-Arriaga1, Susan Wilson2, Kelly P Williams3

  • 1Department of Computer Science, Mail stop: MSC01 1130, 1 University of New Mexico, Albuquerque, NM 87131-0001.

Bioinformation
|July 1, 2015
PubMed
Summary
This summary is machine-generated.

The Omics Metadata Management Software (OMMS) streamlines next-generation sequencing data management by providing a unified platform for metadata curation and bioinformatics analysis. This tool enhances data organization and accessibility for researchers, improving the efficiency of omics studies.

Keywords:
Bioinformaticsbiological curationintegrated workflownext-generation sequencingomicsopen-source softwarerelational database management system

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Area of Science:

  • Genomics
  • Bioinformatics
  • Data Management

Background:

  • Next-generation sequencing projects require robust information management for specimen curation, sample preparation, and sequence production.
  • Existing metadata tools lack comprehensive curatorial frameworks and automation for large-scale sequencing projects.
  • Current tools often lack integration with essential bioinformatics executables.

Purpose of the Study:

  • To introduce the Omics Metadata Management Software (OMMS) as a solution for managing metadata in genome-based studies.
  • To empower experimentalists with tools for generating consistent metadata and performing analyses.
  • To provide a flexible and integrated platform for data processing, interpretation, sharing, and reuse.

Main Methods:

  • Development of a web-based application, OMMS, with an intuitive interface.
  • Integration of metadata management with bioinformatics executables (e.g., BLAST, Bowtie2).
  • Validation through use cases involving short-read sequence datasets and demonstration of various workflows.

Main Results:

  • OMMS facilitates the generation of intuitive and consistent metadata.
  • The software supports multistep analyses, results management, and data downloading.
  • Demonstrated successful installation and integrated function for omics data management.

Conclusions:

  • OMMS addresses the limitations of existing metadata management tools for large-scale sequencing projects.
  • The software can be implemented as a standalone package or a web-based deployment for collaborative research.
  • OMMS is an open-source, flexible, and extensible solution for enhancing omics data management and analysis.