Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1371/journal.pone.0246287
https://doi.org/10.1371/journal.pone.0246287
Machine learning predicts and provides insights into milk acidification rates of Lactococcus lactis
Cited by: 6
Author(s): Signe Tang Karlsen, Tammi Camilla Vesth, Gunnar Øregaard, Vera Kuzina Poulsen, Ole Lund, Gemma Henderson, Jacob Bælum
Published: over 3 years ago
Software Mentions 2
pypi: fasta
The fasta python package enables you to deal with biological sequence files easily.Papers that mentioned: 848