NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential (doi:10.21979/N9/IP6DBD)

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Document Description

Citation

Title:

NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential

Identification Number:

doi:10.21979/N9/IP6DBD

Distributor:

DR-NTU (Data)

Date of Distribution:

2017-09-19

Version:

1

Bibliographic Citation:

Zheng, Jie, 2017, "NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential", https://doi.org/10.21979/N9/IP6DBD, DR-NTU (Data), V1

Study Description

Citation

Title:

NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential

Identification Number:

doi:10.21979/N9/IP6DBD

Authoring Entity:

Zheng, Jie (Nanyang Technological University)

Software used in Production:

(To be provided)

Grant Number:

AcRF Tier 1 Seed Grant on Complexity RGC2/13

Grant Number:

AcRF Tier 1 Grant 2015-T1-002-094, RG120/15

Distributor:

DR-NTU (Data)

Access Authority:

Zheng, Jie

Depositor:

Cheng, Wei Yeow

Date of Deposit:

2017-08-26

Holdings Information:

https://doi.org/10.21979/N9/IP6DBD

Study Scope

Keywords:

Computer and Information Science, Computer and Information Science, Open-source software tool, Application, Quantitative modeling, Quantitative visualization, Waddington’s epigenetic landscape

Abstract:

<h3>About NetLand</h3> <p>NetLand is a software for quantitative modeling and visualization of Waddington’s epigenetic landscape.</p> <p>NetLand is intended for modeling, simulation and visualization of gene regulatory networks (GRNs) and their corresponding quasi-potential landscapes. Users can import models of GRNs from a file (e.g. TSV, SBML format etc.), and manually edit the network structure. Then, NetLand will automatically encode differential equations for the kinetics of transcriptional regulations. The computational model will be used to simulate the dynamics of the input networks. Model equations and parameters can be easily modified.</p> <p>To display the 3D landscape for a network of more than two genes, NetLand allows users to either choose two marker genes, or project to a latent space using a dimensionality reduction method called GPDM (Gaussian process dynamical model). Therefore, NetLand can provide a global picture of cellular dynamics for a user-specified GRN. Although we designed the NetLand software originally for modeling stem cell fate transitions, it can be also used to study other cellular phenotypes, such as cancer cell death, cellular ageing, etc.</p> <h3>Download</h3> <p>The software NetLand is written in Java, with a graphical user interface (GUI). The <a href="https://github.com/NetLand-NTU/NetLand/blob/master/NetLand_manual.pdf">user manual</a> contains detailed instruction about installation and basic usage. It also includes running time and memory usage assessment and case studies.</p> <p> <p style="color:#6f2a11 ;">The source code and additional resources are available for downloading in this dataset record. They can also be downloaded at <a href="https://github.com/NetLand-NTU/NetLand/">Github</a>.</p> </p> <p></p> </body>

Kind of Data:

Software

Kind of Data:

Source code

Methodology and Processing

Sources Statement

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Related Publications

Citation

Identification Number:

10.1093/bioinformatics/btx022

Bibliographic Citation:

Guo, J., Lin, F., Zhang, X., Tanavde, V.,& Zheng, J. NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential. Bioinformatics 2017; 33 (10): 1583-1585.

Citation

Identification Number:

10356/85842

Bibliographic Citation:

Guo, J., Lin, F., Zhang, X., Tanavde, V.,& Zheng, J. NetLand: quantitative modeling and visualization of Waddington’s epigenetic landscape using probabilistic potential. Bioinformatics 2017; 33 (10): 1583-1585.

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text/plain; charset=US-ASCII

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GPDM.zip

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application/zip

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LICENSE

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text/plain; charset=US-ASCII

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main.jar

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application/java-archive

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NetLand_manual.pdf

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application/pdf

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netland.wmv

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video/x-ms-wmv

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README.docx

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README.md

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runNetLand.bat

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runNetLand.sh

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saved results.zip

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src.zip

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toy models.zip

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application/zip