AnnoMe: user-defined classification of HR-MS/MS spectra for natural product discovery

Christoph Bueschl, Tomas Rypar, Lenka Molcanova, Juraj Markus, Bernhard Seidl, Maria Doppler, David Ruso, Christina Maisl, Karel Smejkal, Rainer Schuhmacher

Open source

DOI: 10.1093/bioadv/vbag111
Published: 2026
Container: Bioinformatics Advances
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioadv/vbag111,
  title = {AnnoMe: user-defined classification of HR-MS/MS spectra for natural product discovery},
  author = {Christoph Bueschl and Tomas Rypar and Lenka Molcanova and Juraj Markus and Bernhard Seidl and Maria Doppler and David Ruso and Christina Maisl and Karel Smejkal and Rainer Schuhmacher},
  year = {2026},
  journal = {Bioinformatics Advances},
  doi = {10.1093/bioadv/vbag111},
  url = {https://doi.org/10.1093/bioadv/vbag111}
}

RIS

TY  - JOUR
TI  - AnnoMe: user-defined classification of HR-MS/MS spectra for natural product discovery
AU  - Christoph Bueschl
AU  - Tomas Rypar
AU  - Lenka Molcanova
AU  - Juraj Markus
AU  - Bernhard Seidl
AU  - Maria Doppler
AU  - David Ruso
AU  - Christina Maisl
AU  - Karel Smejkal
AU  - Rainer Schuhmacher
PY  - 2026
JO  - Bioinformatics Advances
DO  - 10.1093/bioadv/vbag111
UR  - https://doi.org/10.1093/bioadv/vbag111
ER  -

APA

Bueschl, C., Rypar, T., Molcanova, L., Markus, J., Seidl, B., Doppler, M., Ruso, D., Maisl, C., Smejkal, K., & Schuhmacher, R. (2026). AnnoMe: user-defined classification of HR-MS/MS spectra for natural product discovery. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag111

Source records

crossref · retrieved 2026-09-25T08:07:54.799Z