diff --git a/index.html b/index.html index 8229f3d..9a2296a 100644 --- a/index.html +++ b/index.html @@ -12,7 +12,7 @@
-

MetFragWeb

+

MetFrag Web

Learn more

Use MetFrag directly from your browser for a visual, interactive experience. Great for beginners or exploring your data

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MetFrag CL

-

MetFragR

+

MetFrag in R

Learn more

Users familiar with R can download the MetFragR R-package, or use MetFrag built into the patRoon workflow

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Converter

Overview

-

MetFrag is a freely available software for the annotation of high precision tandem mass spectra of metabolites which -is a first and critical step for the identification of a molecule's structure. Candidate molecules -of different databases are fragmented in silico and matched against mass to charge values. A score calculated -using the fragment peak matches gives hints to the quality of the candidate spectrum assignment.

+

MetFrag is a freely available software to annotate metabolites and other small molecules using +fragmentation information from tandem mass spectra, which is a first and critical step towards +identification of a molecule's structure. Candidate molecules can be retrieved from +different databases using mass or molecular formula and are then fragmented in silico +and matched against the fragments. The resulting score calculated using the fragment peak matches +can be used to rank the various candidate molecules. Additional scoring terms, including an +experimental mass spectral library match, or database-specific scoring terms such as +patent and literature values can be defined in the settings.

Availability

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Availability

For R users, options include the MetFragR R-package and the integrated non-target screening workflow patRoon.

-

Publications

+

Citing MetFrag

-When using MetFrag, please cite:

-MetFrag relaunched: incorporating strategies beyond in silico fragmentation: -C Ruttkies, E L Schymanski, S Wolf, J Hollender, S Neumann -Journal of Cheminformatics 2016 8:3

+

Please cite this article when using MetFrag:

+

C Ruttkies, EL Schymanski, S Wolf, J Hollender, S Neumann (2016) +MetFrag relaunched: incorporating strategies beyond in silico fragmentation +Journal of Cheminformatics 8:3. DOI: 10.1186/s13321-016-0115-9 +

-

MetFrag with fragment learning:

-Improving MetFrag with statistical learning of fragment annotations: -C Ruttkies, S Neumann, S Posch -BMC bioinformatics 20, 376

+

Other MetFrag Publications

-

MetFrag and HD Exchange:

-Supporting non-target identification by adding hydrogen deuterium exchange MS/MS capabilities to MetFrag: -C Ruttkies, EL Schymanski, N Strehmel, J Hollender, S Neumann, AJ Williams, M Krauss -Analytical and Bioanalytical Chemistry 411(19), 4683–4700

+

Exposomics - MetFrag Meets PubChemLite: +EL Schymanski, T Kondic, S Neumann, PA Thiessen, J Zhang, EE Bolton (2021) +Empowering large chemical knowledge bases for exposomics: PubChemLite meets MetFrag +Journal of Cheminformatics 13:19. DOI: 10.1186/s13321-021-00489-0 +

-

Version 2010:

-In silico fragmentation for computer assisted identification of metabolite mass spectra: -S Wolf, S Schmidt, M Müller-Hannemann, S Neumann -BMC bioinformatics 11 (1), 148

+

MetFrag with Statistical Fragment Learning: +C Ruttkies, S Neumann, S Posch (2019) +Improving MetFrag with statistical learning of fragment annotations: +BMC Bioinformatics 20: 376. DOI: 10.1186/s12859-019-2954-7

-These are the papers in +

MetFrag and HD Exchange: +C Ruttkies, EL Schymanski, N Strehmel, J Hollender, S Neumann, AJ Williams, M Krauss (2019) +Supporting non-target identification by adding hydrogen deuterium exchange MS/MS capabilities to MetFrag: +Analytical and Bioanalytical Chemistry 411(19), 4683–4700. +DOI: 10.1007/s00216-019-01885-0

+ +

MetFrag Relaunched (2016): +C Ruttkies, EL Schymanski, S Wolf, J Hollender, S Neumann (2016) +MetFrag relaunched: incorporating strategies beyond in silico fragmentation +Journal of Cheminformatics 8:3. DOI: 10.1186/s13321-016-0115-9 +

+ +

Original MetFrag Version (2010): +S Wolf, S Schmidt, M Müller-Hannemann, S Neumann (2010) +In silico fragmentation for computer assisted identification of metabolite mass spectra: +BMC Bioinformatics 11:148. DOI: 10.1186/1471-2105-11-148. +Here are the papers that have cited MetFrag (version 2010) so far in PubMed -and google scholar -that have cited MetFrag (version 2010) so far. +and Google Scholar.

License

diff --git a/news/index.html b/news/index.html index f68384a..dbb6255 100644 --- a/news/index.html +++ b/news/index.html @@ -7,14 +7,15 @@

MetFrag news

    -
  • 22 October, 2024 New MetFrag Command Line version released. Grab MetFragCommandLine-2.5.1.jar now!

  • -
  • 18 October, 2024 We are working on an updated MoNA library within MetFrag. Keep an eye on MetFragRelaunched.

  • -
  • 18 October, 2024 An updated MoNA LC-MS/MS library for MetFrag is now available on Zenodo.

  • -
  • 08 March, 2021 New publication about MetFrag and PubChemLite now avaialble at DOI: 10.1186/s13321-021-00489-0.

  • -
  • 05 March, 2019 A Bayesian model has been included to improve the MetFrag annotation results. Find out more on MetFrag CL.

  • -
  • 28 April, 2016 The MetFrag R package has been rebuilt and updated to version 2.0. Check it out on MetFragR.

  • -
  • 10 July, 2015 The new Metfrag commandline tool is available on our website. Check out MetFrag CL.

  • -
  • 23 November, 2014 The in silico derivatised KEGG database is now available in the MetFragWeb beta version.

  • -
  • 17 February, 2014 The converters section is now published on the web site.

  • -
  • 14 February, 2014 Website goes online.

  • +
  • 25 October 2024 New MetFrag Command Line version released with updated MoNA library. Grab MetFragCommandLine-2.6.1.jar now!

  • +
  • 22 October 2024 New MetFrag Command Line version released. Grab MetFragCommandLine-2.5.1.jar now!

  • +
  • 18 October 2024 We are working on an updated MoNA library within MetFrag. Keep an eye on MetFragRelaunched.

  • +
  • 18 October 2024 An updated MoNA LC-MS/MS library for MetFrag is now available on Zenodo.

  • +
  • 08 March 2021 New publication about MetFrag and PubChemLite now avaialble at DOI: 10.1186/s13321-021-00489-0.

  • +
  • 05 March 2019 A Bayesian model has been included to improve the MetFrag annotation results. Find out more on MetFrag CL.

  • +
  • 28 April 2016 The MetFrag R package has been rebuilt and updated to version 2.0. Check it out on MetFragR.

  • +
  • 10 July 2015 The new Metfrag commandline tool is available on our website. Check out MetFrag CL.

  • +
  • 23 November 2014 The in silico derivatised KEGG database is now available in the MetFragWeb beta version.

  • +
  • 17 February 2014 The converters section is now published on the web site.

  • +
  • 14 February 2014 Website goes online.