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Papers: 10.3390/md18100515

https://doi.org/10.3390/md18100515

Applying a Chemogeographic Strategy for Natural Product Discovery from the Marine Cyanobacterium Moorena bouillonii

Cited by: 6
Author(s): Christopher A. Leber, C. Benjamin Naman, Lena Keller, Jehad Almaliti, Eduardo J. E. Caro‐Diaz, Evgenia Glukhov, V. Joseph, Sajeevan Thavarool Puthiyedathu, Andres Joshua Reyes, Jason S. Biggs, Te Li, Ye Yuan, Shan He, Xiaojun Yan, William H. Gerwick
Published: almost 5 years ago

Software Mentions 10

pypi: browser
A package to prevent Dependency Confusion attacks against Yandex.
Papers that mentioned: 2,125
Very Likely Science (65)
pypi: matplotlib
Python plotting package
Papers that mentioned: 1,045
Very Likely Science (100)
pypi: networkx
Python package for creating and manipulating graphs and networks
Papers that mentioned: 110
Very Likely Science (100)
pypi: numpy
Fundamental package for array computing in Python
Papers that mentioned: 832
Very Likely Science (100)
pypi: pandas
Powerful data structures for data analysis, time series, and statistics
Papers that mentioned: 640
Very Likely Science (100)
pypi: pyteomics
A framework for proteomics data analysis.
Papers that mentioned: 5
Very Likely Science (100)
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
Very Likely Science (100)
pypi: seaborn
Statistical data visualization
Papers that mentioned: 283
Very Likely Science (100)
pypi: sklearn
deprecated sklearn package, use scikit-learn instead
Papers that mentioned: 559
Very Likely Science (65)
pypi: visualizer
Automate the process of visualization
Papers that mentioned: 36
Very Likely Science (75)