Sirius

<span style="color: #808080;">Our methods are offered to the scientific community as freely available resources. (Re-)distribution of the methods, in whole or in part, for commercial purposes is prohibited. The SIRIUS web services (CSI:FingerID, CANOPUS, MSNovelist and others) hosted by the Böcker group are for academic research and education use only. Please review the terms of service of the academic version for details. For non-academic users, the Bright Giant GmbH provides licenses and all related services. We ask that users of our tools cite the corresponding papers in any resulting publications.</span>

SIRIUS is a java-based software framework for the analysis of LC-MS/MS data of metabolites and other "small molecules of biological interest". SIRIUS integrates a collection of our tools, including CSI:FingerID (with COSMIC), ZODIAC, CANOPUS. In particular, both the graphical user interface and the command line version of SIRIUS seamlessly integrate the CSI:FingerID, CANOPUS and MSNovelist web services.

Main developers of SIRIUS are the Böcker group and the Bright Giant GmbH

Download Links

Documentation

• Online Documentation
• Video tutorials
• Videos - Behind the scenes
• Demo data
• Logos for publications and presentations

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SIRIUS+CSI:FingerID GUI and CLI - Version 6.4.4 (2026-03-25)

These versions include the Java Runtime Environment, so there is no need to install Java separately! Just download, install/unpack and execute.

• for Windows (x86-64/amd64/x64): msi / zip
• for Mac (x86-64/amd64/x64): pkg / zip
• for Mac (arm64/aarch64/apple silicon): pkg / zip
• for Linux (x86-64/amd64/x64): zip
• for Linux (arm64/aarch64): zip

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All (including previous) releases can be found here.

Installation

For Windows and MacOS, the installer version of SIRIUS (msi/pkg) should be preferred but might require administrator permissions. These installer packages are signed by Bright Giant to verify the package provider’s identity, and should therefore trigger no or only mild security warnings from the operating system during installation. See the documentation for details.

Creating a user account

User accounts can be created directly via the SIRIUS GUI. Please, use your institutional email address. SIRIUS web services are free for academic use. Usually academic institutions are identified by their email domain and access will be granted automatically. In some cases, further validation of your academic may be required. See also SIRIUS Documentation – Account and License.

Sources on GitHub

• SIRIUS
• SIRIUS-API SDKs
• SIRIUS-API Java SDK

Changelog

Contact

• To get news, help or ask questions please join our Gitter Community #sirius-ms:gitter.im.
• For bug reports or feature request please use the issues on our GitHub. Or check the documentation for further information about this topic.

Integration of CSI:FingerID, CANOPUS and MSNovelist

Fragmentation trees and spectra can be directly uploaded from SIRIUS to the CSI:FingerID, CANOPUS and MSNovelist web services. Results are retrieved from the web service and can be displayed in the SIRIUS graphical user interface. This functionality is also available for the SIRIUS command-line tool. Training structures for CSI:FingerID's predictors are available through the CSI:FingerID web API:

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• https://www.csi-fingerid.uni-jena.de/v3.0/api/fingerid/trainingstructures?predictor=1 (training structures for positive ion mode)
• https://www.csi-fingerid.uni-jena.de/v3.0/api/fingerid/trainingstructures?predictor=2 (training structures for negative ion mode)

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Fragmentation Tree Computation

The manual interpretation of tandem mass spectra is time-consuming and non-trivial. SIRIUS analyses the fragmentation pattern resulting in a hypothetical fragmentation tree, in which nodes are annotated with molecular formulas of the fragments and arcs (edges) represent fragmentation events (losses). SIRIUS allows for the automated and high-throughput analysis of small-compound MS data beyond elemental composition without requiring compound structures or a mass spectral database.

Isotope Pattern Analysis

SIRIUS deduces molecular formulas of small compounds by ranking isotope patterns from mass spectra of high resolution. After preprocessing, the output of a mass spectrometer is a list of peaks which corresponds to the masses of the sample molecules and their abundance. In principle, elemental compositions of small molecules can be identified using only accurate masses. However, even with very high mass accuracy, many formulas are obtained in higher mass regions. High resolution mass spectrometry allows us to determine the isotope pattern of sample molecule with outstanding accuracy and apply this information to identify the elemental composition of the sample molecule. SIRIUS can be downloaded either as graphical user interface (see Sirius GUI) or as command-line tool.

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Main citations

Kai Dührkop, Markus Fleischauer, Marcus Ludwig, Alexander A. Aksenov, Alexey V. Melnik, Marvin Meusel, Pieter C. Dorrestein, Juho Rousu and Sebastian Böcker. SIRIUS 4: Turning tandem mass spectra into metabolite structure information. Nature Methods 16, 299–302, 2019.

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Michael A. Stravs and Kai Dührkop, Sebastian Böcker and Nicola Zamboni. MSNovelist: De novo structure generation from mass spectra. Nature Methods 19, 865–870, 2022. (Cite if you are using: MSNovelist)

Martin A. Hoffmann, Louis-Félix Nothias, Marcus Ludwig, Markus Fleischauer, Emily C. Gentry, Michael Witting, Pieter C. Dorrestein, Kai Dührkop and Sebastian Böcker. High-confidence structural annotation of metabolites absent from spectral libraries. Nature Biotechnology 40, 411–421, 2022. (Cite if you are using: CSI:FingerID, COSMIC)

Kai Dührkop, Louis-Félix Nothias, Markus Fleischauer, Raphael Reher, Marcus Ludwig, Martin A. Hoffmann, Daniel Petras, William H. Gerwick, Juho Rousu, Pieter C. Dorrestein and Sebastian Böcker. Systematic classification of unknown metabolites using high-resolution fragmentation mass spectra. Nature Biotechnology, 2021. (Cite if you are using CANOPUS)

Yannick Djoumbou Feunang, Roman Eisner, Craig Knox, Leonid Chepelev, Janna Hastings, Gareth Owen, Eoin Fahy, Christoph Steinbeck, Shankar Subramanian, Evan Bolton, Russell Greiner, David S. Wishart. ClassyFire: automated chemical classification with a comprehensive, computable taxonomy. Journal of Cheminformatics 8, 61, 2016. (ClassyFire publication; cite this if you are using CANOPUS)

Marcus Ludwig, Louis-Félix Nothias, Kai Dührkop, Irina Koester, Markus Fleischauer, Martin A. Hoffmann, Daniel Petras, Fernando Vargas, Mustafa Morsy, Lihini Aluwihare, Pieter C. Dorrestein, Sebastian Böcker. Database-independent molecular formula annotation using Gibbs sampling through ZODIAC. Nature Machine Intelligence 2, 629–641, 2020. (Cite if you are using ZODIAC)

Kai Dührkop and Sebastian Böcker. [Fragmentation tree