forked from gagneurlab/FRASER
-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
126 lines (126 loc) · 3.11 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
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
Package: FRASER
Type: Package
Title: Find RAre Splicing Events in RNA-Seq Data
Version: 1.99.4
Date: 2024-05-11
Authors@R: c(
person("Christian", "Mertes", role=c("aut", "cre"),
email="mertes@in.tum.de", comment=c(ORCID="0000-0002-1091-205X")),
person("Ines", "Scheller", role=c("aut"), email="scheller@in.tum.de",
comment=c(ORCID="0000-0003-4533-7857")),
person("Karoline", "Lutz", role=c("ctb"), email="lutzk@in.tum.de"),
person("Vicente", "Yepez", role=c("aut"), email="yepez@in.tum.de",
comment=c(ORCID="0000-0001-7916-3643")),
person("Julien", "Gagneur", role=c("aut"), email="gagneur@in.tum.de",
comment=c(ORCID="0000-0002-8924-8365")))
Description: Detection of rare aberrant splicing events in transcriptome
profiles. Read count ratio expectations are modeled by an autoencoder to
control for confounding factors in the data. Given these expectations,
the ratios are assumed to follow a beta-binomial distribution with a
junction specific dispersion. Outlier events are then identified as
read-count ratios that deviate significantly from this distribution.
FRASER is able to detect alternative splicing, but also intron retention.
The package aims to support diagnostics in the field of rare diseases where
RNA-seq is performed to identify aberrant splicing defects.
biocViews:
RNASeq,
AlternativeSplicing,
Sequencing,
Software,
Genetics,
Coverage
License: MIT + file LICENSE
URL: https://github.com/gagneurlab/FRASER
BugReports: https://github.com/gagneurlab/FRASER/issues
RoxygenNote: 7.3.1
Encoding: UTF-8
VignetteBuilder: knitr
Depends:
BiocParallel,
data.table,
Rsamtools,
SummarizedExperiment
Imports:
AnnotationDbi,
BBmisc,
Biobase,
BiocGenerics,
biomaRt,
BSgenome,
cowplot,
DelayedArray (>= 0.5.11),
DelayedMatrixStats,
extraDistr,
generics,
GenomeInfoDb,
GenomicAlignments,
GenomicFeatures,
GenomicRanges,
IRanges,
grDevices,
ggplot2,
ggrepel,
HDF5Array,
matrixStats,
methods,
OUTRIDER,
pcaMethods,
pheatmap,
plotly,
PRROC,
RColorBrewer,
rhdf5,
Rsubread,
R.utils,
S4Vectors,
stats,
tibble,
tools,
utils,
VGAM
Suggests:
magick,
BiocStyle,
knitr,
rmarkdown,
testthat,
covr,
TxDb.Hsapiens.UCSC.hg19.knownGene,
org.Hs.eg.db,
rtracklayer,
SGSeq,
ggbio,
biovizBase
LinkingTo:
RcppArmadillo,
Rcpp
Collate:
variables.R
getNSetterFuns.R
FRASER-package.R
FraserDataSet-class.R
AllGenerics-definitions.R
AllGenerics.R
Fraser-pipeline.R
annotationOfRanges.R
beta-binomial-testing.R
calculatePSIValue.R
countRNAseqData.R
example_functions.R
filterExpression.R
find_encoding_dimensions.R
getURLs.R
helper-functions.R
mergeExternalData.R
saveHDF5Objects.R
RcppExports.R
autoencoder.R
updateD.R
updateE.R
updateRho.R
pvalsNzscore.R
makeSimulatedDataset.R
fitCorrectionMethods.R
plotMethods.R
zzz.R
resultAnnotations.R