-
Notifications
You must be signed in to change notification settings - Fork 34
/
DESCRIPTION
82 lines (82 loc) · 1.97 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
Package: RforProteomics
Type: Package
Title: Companion package to the 'Using R and Bioconductor for
proteomics data analysis' publication
Version: 1.39.1
Authors@R: c(person("Laurent", "Gatto", role=c("aut", "cre"),
email="[email protected]"),
person("Sebastian", "Gibb", role="ctb",
email="[email protected]"),
person("Vlad", "Petyuk", role="ctb",
email="[email protected]"),
person('Thomas', 'Pedersen Lin', role='ctb',
email='[email protected]'))
Depends:
R (>= 3.5),
MSnbase (>= 2.5.3)
Imports:
R.utils,
biocViews,
BiocManager
Suggests:
AnnotationDbi,
rpx (>= 2.0.3),
DT,
knitr,
rmarkdown,
BiocStyle,
mzR,
xcms,
msdata,
MALDIquant (>= 1.12),
MALDIquantForeign,
readBrukerFlexData,
Rdisop,
OrgMassSpecR,
SummarizedExperiment,
BRAIN,
rols,
hpar,
GO.db,
org.Hs.eg.db,
e1071,
biomaRt,
RColorBrewer,
ggplot2,
reshape2,
xtable,
lattice,
mzID,
pRoloc,
pRolocdata,
MSnID,
msmsTests,
msmsEDA,
DEP,
corrplot,
beanplot,
Heatplus,
gplots,
VennDiagram,
protViz,
genefilter,
plotly,
gridExtra,
dplyr,
lubridate,
magick,
cleaver
Description: This package contains code to illustrate the 'Using R and
Bioconductor for proteomics data analysis' and
'Visualisation of proteomics data using R and
Bioconductor' manuscripts. The vignettes describe the
code and data needed to reproduce the examples and
figures described in the paper and functionality for
proteomics visualisation. It also contain various
function to discover R software for mass spectrometry and
proteomics.
URL: http://lgatto.github.com/RforProteomics/
biocViews: ExperimentData, MassSpectrometryData, ReproducibleResearch
License: Artistic-2.0
VignetteBuilder: knitr
RoxygenNote: 7.1.1