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

InSilicoSpectro: an open-source proteomics library.

Jacques Colinge1, Alexandre Masselot, Pablo Carbonell

  • 1Upper Austria University of Applied Sciences at Hagenberg, Bioinformatics Department, Hauptstrasse 117, A-4232 Hagenberg, Austria. jacques.colinge@fh-hagenberg.at

Journal of Proteome Research
|March 4, 2006
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

Circulating DNA reveals nucleosome occupancy patterns that are associated with nucleosome-DNA affinity and are affected in cancer.

Genome medicine·2026
Same author

Living buildings with living electronics: towards biologically intelligent biohybrids.

Trends in biotechnology·2026
Same author

Integrated DNA and RNA profiling refines prognostic stratification independent of therapeutic actionability in cholangiocarcinoma.

BMC cancer·2026
Same author

Statistical models to characterize colon tumor stiffness heterogeneity through representative atomic force microscopy maps.

Scientific reports·2026
Same author

Post-Transcriptional Modification Integration for Ligand-Receptor Cellular Network Inference.

Molecular & cellular proteomics : MCP·2025
Same author

Before LUCA: unearthing the chemical roots of metabolism.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences·2025
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
Same journal

Proteomic Analysis Identifies ATE1-Dependent Arginylation Dysregulation across Meningioma Grades.

Journal of proteome research·2026
See all related articles

InSilicoSpectro is a new open-source proteomics software project. It simplifies complex data analysis tasks like peptide mass computation and spectral matching for researchers.

Area of Science:

  • Proteomics
  • Bioinformatics
  • Computational Biology

Background:

  • Proteomics data analysis involves complex computational tasks.
  • Existing tools may require specialized knowledge or lack integration.
  • There is a need for accessible and integrated software solutions in proteomics.

Purpose of the Study:

  • To introduce InSilicoSpectro, an open-source software project for proteomics data analysis.
  • To provide a versatile framework for common and complex proteomics computations.
  • To facilitate proteomics data analysis for bioinformaticians and mass spectrometrists.

Main Methods:

  • Development of a Perl-based library with integrated objects.
  • Implementation of recurrent computations for proteomics.

Related Experiment Videos

  • Inclusion of functionalities for file conversion, protein digestion, mass computation, spectral analysis, and prediction.

    • Main Results:

    • InSilicoSpectro offers a unified framework for diverse proteomics analyses.
    • The software simplifies tasks such as protein digestion, peptide modification, and spectral matching.
    • Complex analyses can be performed with minimal lines of code.

    Conclusions:

    • InSilicoSpectro provides a valuable, user-friendly tool for proteomics research.
    • It lowers the barrier to entry for complex computational proteomics analyses.
    • The project supports bioinformaticians and mass spectrometrists in their data analysis endeavors.