A collection of 49 simulation methods for single-cell and spatial transcriptome data
Simmethods collects and documents 49 popular and common simulation
methods for single-cell and spatial transcriptome data. To satisfy
user’s requirements in different scenarios, we bundled the simulators
comprehensively and users can simulate many kinds of single-cell RNA-seq
data (different number of groups, batches, differential expressed genes
and even data with differentiation trajectory) using certain
methods. If you want to learn how to use a certain simulation method,
please check the following chart and commit an issue or send an Email to
us when you have any question.
The Table of Simulation Methods
ID
Method
Language
URL
DOI
Journal
1
BASiCS
PLoS Computational Biology
2
BEARscc
Nature Communications
3
CancerInSilico
PLoS Computational Biology
4
dropsim
5
dyngen
Nature Communications
6
dyntoy
7
ESCO
Bioinformatics
8
ESCO-traj
Bioinformatics
9
ESCO-tree
Bioinformatics
10
hierarchicell
BMC Genomics
11
Kersplat
Genome Biology
12
Lun
Genome Biology
13
Lun2
Genome Biology
14
MFA
Wellcome Open Research
15
muscat
Nature Communications
16
phenopath
bioRxiv
17
POWSC
Bioinformatics
18
powsimR
Bioinformatics
19
PROSSTT
Bioinformatics
20
scDD
Genome Biology
21
scDesign
Bioinformatics
22
scDesign2
Genome Biology
23
scDesign3
Nature Biotechnology
24
scDesign3-tree
Nature Biotechnology
25
scGAN
Nature Communications
26
scMultiSim
bioRxiv
27
scMultiSim-tree
bioRxiv
28
SCRIP-BGP-commonBCV
Bioinformatics
29
SCRIP-BGP-trendedBCV
Bioinformatics
30
SCRIP-BP
Bioinformatics
31
SCRIP-GP-commonBCV
Bioinformatics
32
SCRIP-GP-trendedBCV
Bioinformatics
33
SCRIP-paths
Bioinformatics
34
SimBPDD
Annales Mathematicae et Informaticae
35
Simple
Genome Biology
36
SparseDC
Nucleic Acids Research
37
SPARSim
Bioinformatics
38
Splat
Genome Biology
39
Splat-paths
Genome Biology
40
SplatPop
Genome Biology
41
SplatPop-paths
Genome Biology
42
SPsimSeq
Bioinformatics
43
SRTsim
Genome Bilogy
44
SymSim
Nature Communications
45
TedSim
Nucleic Acids Research
46
VeloSim
bioRxiv
47
zinbwave
Nature Communications
48
zinbwaveZinger
Genome Biology
49
zingeR
Genome Biology
New methods
We are glad to add new simulation methods if some methods are innovative
and creative that many users commonly used. If you have the
requirements, please tell me by email (duohongrui@cqnu.edu.cn) or
raise an issue for that.