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  PROSSTT: Probabilistic simulation of single-cell RNA-seq data for complex differentiation processes.

Papadopoulos, N., Parra, R. G., & Söding, J. (2019). PROSSTT: Probabilistic simulation of single-cell RNA-seq data for complex differentiation processes. Bioinformatics, (in press). doi:10.1093/bioinformatics/btz078.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0002-F36B-4 Version Permalink: https://hdl.handle.net/21.11116/0000-0002-F36F-0
Genre: Journal Article

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 Creators:
Papadopoulos, N., Author
Parra, R. G., Author
Söding, J.1, Author           
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1Research Group of Computational Biology, MPI for Biophysical Chemistry, Max Planck Society, ou_1933286              

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 Abstract: Cellular lineage trees can be derived from single-cell RNA sequencing snapshots of differentiating cells. Currently, only datasets with simple topologies are available. To test and further develop tools for lineage tree reconstruction, we need test datasets with known complex topologies. PROSSTT can simulate scRNA-seq datasets for differentiation processes with lineage trees of any desired complexity, noise level, noise model, and size. PROSSTT also provides scripts to quantify the quality of predicted lineage trees.

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Language(s): eng - English
 Dates: 2019-02-01
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.1093/bioinformatics/btz078
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Title: Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: (in press) Start / End Page: - Identifier: -