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Papers: 10.3390/plants9091176

https://doi.org/10.3390/plants9091176

Plant Soft Rot Development and Regulation from the Viewpoint of Transcriptomic Profiling

Cited by: 19
Author(s): Ivan Tsers, Vladimir Gorshkov, Natalia Gogoleva, Olga Parfirova, Olga Petrova, Alexander A. Kamnev
Published: about 6 years ago

Software Mentions 5

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
Very Likely Science (100)
cran: Mercator
Clustering and Visualizing Distance Matrices
Papers that mentioned: 347
Very Likely Science (75)
pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.
Papers that mentioned: 307
Very Likely Science (100)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)