An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s13321-017-0219-x

https://doi.org/10.1186/s13321-017-0219-x

Comprehensive comparison of in silico MS/MS fragmentation tools of the CASMI contest: database boosting is needed to achieve 93% accuracy

Cited by: 75
Author(s): Ivana Blaženović, Tobias Kind, Hrvoje Torbašinović, Slobodan Obrenović, Sajjan S. Mehta, Hiroshi Tsugawa, Tobias Wermuth, Nicolas Schauer, Martina Jahn, Rebekka Biedendieck, Dieter Jahn, Oliver Fiehn
Published: about 8 years ago

Software Mentions 2

pypi: cfm-id
A Python wrapper to use CFM-ID : https://cfmid.wishartlab.com
Papers that mentioned: 1
Very Likely Science (65)
pypi: db
Databases for Humans
Papers that mentioned: 108
Very Likely Science (65)