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scPlant

scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.

The scPlant pipeline is implemented with plentiful functions for diverse analytical tasks, ranging from basic data processing to advanced demands such as cell type annotation and deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory network construction.

Installation

First, install devtools (for installing GitHub packages) if it isn’t already installed:

if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")

Then, install scPlant:

devtools::install_github("compbioNJU/scPlant")

Usage

Please see website: https://compbioNJU.github.io/scPlant

Citation:

Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W., Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.

Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.

About

A versatile framework for single-cell transcriptomic data analysis in plants.

compbioNJU.github.io/scPlant

Topics

plantssingle-cell

Resources

Readme
Activity

Stars

24 stars

Watchers

1 watching

Forks

4 forks
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
Report repository
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
Report repository
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, 'i');
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
Report repository
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, 'i');
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
Report repository
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Packages
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, 'i');
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GitHub - compbioNJU/scPlant: A versatile framework for single-cell transcriptomic data analysis in plants. · GitHub
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scPlant
scPlant: a versatile framework for single-cell transcriptomic data analysis in plants.
The scPlant pipeline is implemented with plentiful functions for diverse analytical
tasks, ranging from basic data processing to advanced demands such as cell type annotation and
deconvolution, trajectory inference, cross-species data integration and cell-type specific gene regulatory
network construction.
Installation
First, install devtools (for installing GitHub packages) if it isn’t already installed:
if (!requireNamespace("devtools", quietly=TRUE)) install.packages("devtools")
Then, install scPlant:
devtools::install_github("compbioNJU/scPlant")
Usage
Please see website: https://compbioNJU.github.io/scPlant
Citation:
Cao, S., He, Z., Chen, R., Luo, Y., Fu, L.-Y., Zhou, X., He, C., Yan, W.,
Zhang, C.-Y., Chen, D., scPlant: a versatile framework for single-cell transcriptomic data analysis in
plants, PLANT COMMUNICATIONS (2023), doi: https://doi.org/10.1016/j.xplc.2023.100631.
Please note that MINI-EX uses a dual license to offer the distribution of the software under a proprietary model as well as an open source model.
About
A versatile framework for single-cell transcriptomic data analysis in plants.
compbioNJU.github.io/scPlant
Topics
plantssingle-cell
Resources
Readme
Activity
Stars
24 stars
Watchers
1 watching
Forks
4 forks
Report repository
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