knitr::opts_chunk$set( collapse = TRUE, comment = "#>", # fig.width = 7, # fig.height = 5, warning = FALSE, message = TRUE, fig.path = "man/figures/", out.width = "100%" )
library("badger")
cat( badge_cran_release("tidymass", "green"), badge_code_size(ref = "tidymass/tidymass"), badge_dependencies(), badge_lifecycle() # badge_cran_download("badger", "grand-total", "green"), # badge_cran_download("badger", "last-month", "green"), # badge_cran_download("badger", "last-week", "green") )
tidymass
is a collections of R packages for mass spectrometry data processing, analysis.
You can install tidymass
from Github.
if(!require(devtools)){ install.packages("devtools") } devtools::install_github("tidymass/tidymass")
Then you can use install_tidymass()
to install all the packages in tidymass
.
library(tidymass)
tidymass::install_tidymass(from = "github", force = FALSE)
Now, tidymass
contains several packages:
If you use lipidflow in you publication, please cite this publication:
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu* (Corresponding Author), Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516.
If you use lipidflow in you publication, please cite this publication:
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu* (Corresponding Author), Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516.
If you use lipidflow in you publication, please cite this publication:
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu* (Corresponding Author), Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516.
If you use lipidflow in you publication, please cite this publication:
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu* (Corresponding Author), Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516.
If you have any quesitions about tidymass
, please don't hesitate to email me (shenxt@stanford.edu).
shenxt@stanford.edu
M339, Alway Buidling, Cooper Lane, Palo Alto, CA 94304
If you use tidymass in you publication, please cite this publication:
X. Shen, R. Wang, X. Xiong, Y. Yin, Y. Cai, Z. Ma, N. Liu, and Z.-J. Zhu* (Corresponding Author), Metabolic Reaction Network-based Recursive Metabolite Annotation for Untargeted Metabolomics, Nature Communications, 2019, 10: 1516.
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