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Papers: 10.1371/journal.pbio.2003962

https://doi.org/10.1371/journal.pbio.2003962

Design of synthetic bacterial communities for predictable plant phenotypes

Cited by: 157
Author(s): Sur Herrera Paredes, Tianxiang Gao, Theresa F. Law, Omri M. Finkel, Tatiana S. Mucyn, Paulo José Pereira Lima Teixeira, Isaí Salas González, Meghan E. Feltcher, Matthew J. Powers, Elizabeth A. Shank, Corbin D. Jones, Vladimir Jojic, Jeffery L. Dangl, Gabriel Castrillo
Published: over 8 years ago

Software Mentions 5

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
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cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
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cran: gplots
Various R Programming Tools for Plotting Data
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pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
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pypi: Sickle
A lightweight OAI client library for Python
Papers that mentioned: 740
Very Likely Science (100)