SIRIUS+CSI:FingerID 3.5 released

Our new version, Sirius 3.5, comes with several advancements. Download and use it here.
We have a new overview tab for CSI:FingerID hits which displays results of structure search for multiple molecular formulas.
You can examine the predicted fingerprint of each compound (and molecular formula) independently of any database.
We now offer the possibility to create and search in custom structure databases.
Besides, we have a new bayesian networks scoring function for CSI:FingerID which considers dependencies between different molecular properties.
This and much more.

SIRIUS hotfix

We released a patch for SIRIUS+CSI:FingerID (now version 3.4.1) that fixes some critical bugs. We recommend everybody to download the newest version of SIRIUS.

SIRIUS+CSI:FingerID 3.4 released

A new Sirius version is available. We included new features to enable a more intuitive workflow. We hope you’ll like it. Download and use it here.
We provide element prediction using isotope pattern. CSI:FingerID now predicts more molecular properties which improves structure identification.
Besides we fundamentally changed the structure of the result output generated by the command line tool to its final version. This means you might have to adjust  your workflow.

 

 

 

SIRIUS+CSI:FingerID for Mac OSX

SIRIUS+CSI:FingerID is no available for Mac. You can download it here. A few highlights of the new version:

  • Searching your tandem mass spectra in molecular databases using CSI:FingerId
  • Restrict the SIRIUS molecular formula identification to formulas appearing in molecular databases – or search through the whole space of possible formulas. It’s up to you.
  • Sort you identification results by confidence such that more reliable identifications (e.g. from high quality spectra or easy recognizable compounds) are separated from bogus identifications.
  • Predict structural features and substructures from tandem mass spectra and visualize them in your candidate structure list.

Don’t hesitate to give us your feedback, report bugs or suggesting new features. Just write to ed.an1500589761ej-in1500589761u.vre1500589761stsil1500589761@leve1500589761d-sui1500589761ris1500589761

SIRIUS+CSI:FingerID release

SIRIUS+CSI:FingerID leaves the alpha state. You can download it here. A few highlights of the new version:

  • Searching your tandem mass spectra in molecular databases using CSI:FingerID
  • Restrict the SIRIUS molecular formula identification to formulas appearing in molecular databases – or search through the whole space of possible formulas. It’s up to you.
  • Sort you identification results by confidence such that more reliable identifications (e.g. from high quality spectra or easy recognizable compounds) are separated from bogus identifications.
  • Predict structural features and substructures from tandem mass spectra and visualize them in your candidate structure list.

Don’t hesitate to give us your feedback, report bugs or suggesting new features. Just write to ed.an1500589761ej-in1500589761u.vre1500589761stsil1500589761@leve1500589761d-sui1500589761ris1500589761

CSI:FingerID: Best automated method in CASMI contest

CSI:FingerID participated in this year’s CASMI (Critical Assessment of Small Molecule Identification) contest for automated methods identifying compounds solely by mass spectral data without additional meta data (category 2). IOKR, the new prediction method within CSI:FingerID, won this category. Standard CSI:FingerId prediction method ranked 2nd best. For positive ionization, CSI:FingerID identified more than twice as much compounds than any other method.

We are pleased that SIRIUS and CSI:FingerID were successfully used by many other contestants in category 1.

You can try CSI:FingerID on http://www.csi-fingerid.org/. A commandline version as well as a user interface which allows batch processing of MS/MS data will be released soon. We will also integrate the new IOKR prediction method into the CSI:FingerID web interface.

SIRIUS 3.0 release

We present SIRIUS 3.0, a java-based software for discovering a landscape of de-novo identification of metabolites using single and tandem mass spectrometry.
SIRIUS uses isotope pattern analysis for detecting the molecular formula and further analyses the fragmentation pattern of a compound using fragmentation trees.

The version 3.0 is a complete rewrite of our previous software. It uses faster algorithms for the fragmentation tree computation and a revised scoring based on Bayesian statistics.

A command line tool is available here. We will add a graphical user interface soon.