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("metID", "green"), badge_code_size(ref = "jaspershen/metID"), 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") )
metID
is a R package which is used for metabolite identification based on in-house database and public database based on accurate mass (m/z), retention time (RT) and/or MS2 spectra.
You can install metID
from Github.
if(!require(devtools)){ install.packages("devtools") } devtools::install_github("jaspershen/metID")
tinyTools
is a dependent package for metID
. Please install it too.
if(!require(devtools)){ install.packages("devtools") } devtools::install_github("jaspershen/tinyTools")
Please see the Get started page to get the instruction of metID
.
If you have any quesitions about metID
, 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 metID 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.
Web Link.
Thanks very much!
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