Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

DBParser: web-based software for shotgun proteomic data analyses.

Xiaoyu Yang1, Vijay Dondeti, Rebecca Dezube

  • 1National Institutes of Health, 10 Center Drive, Room 3D42, Bethesda, Maryland 20892-1262, USA.

Journal of Proteome Research
|October 12, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Effect of Elexacaftor/Tezacaftor/Ivacaftor Treatment on Extrapulmonary Complications of Cystic Fibrosis.

Advances in therapy·2026
Same author

Antibiotic use in nursing homes: A qualitative study on knowledge and attitudes among assistant nurses', nurses' and general practitioners'.

Infection, disease & health·2026
Same author

Intravesical oxybutynin for bladder capacity in children with spina bifida: the 'Place de l'OXybutynine Intravésicale chez le Patient Enfant Neurologique' (POXIPEN) trial protocol.

BJU international·2025
Same author

Psychometric validation of the pictorial ecological momentary well-being instrument.

Journal of clinical epidemiology·2025
Same author

Cerebrospinal fluid levels of chitinase 3-like 1 and interleukin-6 can predict response to platform therapies in relapsing multiple sclerosis.

Journal of neurology·2025
Same author

Validity and reliability of the Flare-OA scale for hip and knee osteoarthritis in a Turkish population: item reduction with Rasch analysis.

Rheumatology international·2025
Same journal

Molecular Solution to the Paradox of Ancient Brain Preservation.

Journal of proteome research·2026
Same journal

From Method-Defined Signals to Reference Measurement Procedures: Two Decades of Mass Spectrometry-Based ProGRP Quantification.

Journal of proteome research·2026
Same journal

Proteomic Profiling of Extracellular Vesicle-Enriched Plasma Using Mag-Net for Biomarker Discovery in Pancreatic Ductal Adenocarcinoma.

Journal of proteome research·2026
Same journal

Computationally Efficient Bayesian Estimation of Graphical Networks for Omics Data.

Journal of proteome research·2026
Same journal

Hierarchy of MS-Based Evidence.

Journal of proteome research·2026
Same journal

Proteomic Profiling of Exosomes from HPV-Positive and HPV-Negative Head and Neck Squamous Cell Carcinoma: Selective Cargo Packaging.

Journal of proteome research·2026
See all related articles

DBParser is a web tool that simplifies analyzing mass spectrometry data by consolidating protein identifications from multiple experiments. It helps researchers quickly compare results and identify common or unique features.

Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Analyzing large datasets from Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS) is complex.
  • Consolidating and comparing results from multiple experiments is challenging for researchers.

Purpose of the Study:

  • To introduce DBParser, a web-based program for efficient analysis of LC-MS/MS data.
  • To provide a tool for rapidly culling, merging, and comparing sequence search engine results.
  • To generate concise protein assignments using the principle of parsimony.

Main Methods:

  • DBParser consolidates redundant protein assignments using parsimony.
  • It generates reports summarizing peptide and protein identifications from single or multiple datasets.
  • The tool actively links to primary mass spectral data and public databases (NCBI, GO, Swiss-Prot).

Related Experiment Videos

Main Results:

  • DBParser provides concise protein sets consistent with observed peptide sequences.
  • It enables comparison of results across multiple experiments, highlighting common and different features.
  • Contextually specific reports are generated for biologists and biochemists.

Conclusions:

  • DBParser streamlines the analysis of complex proteomics datasets.
  • The tool facilitates efficient data interpretation and comparison for biological research.
  • It enhances the utility of mass spectrometry data by linking to public resources.