Scelestial: Fast and accurate single-cell lineage tree inference based on a Steiner tree approximation algorithm.
Single-cell genome sequencing provides a highly granular view of biological systems but is affected by high error rates, allelic amplification bias, and uneven genome coverage. This creates a need for data-specific computational methods, for purposes such as for cell lineage tree inference. The obje...
Main Authors: | Mohammad-Hadi Foroughmand-Araabi, Sama Goliaei, Alice C McHardy |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-08-01
|
Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1009100 |
Similar Items
-
Conifer: clonal tree inference for tumor heterogeneity with single-cell and bulk sequencing data
by: Leila Baghaarabani, et al.
Published: (2021-08-01) -
Importations of SARS-CoV-2 lineages decline after nonpharmaceutical interventions in phylogeographic analyses
by: Sama Goliaei, et al.
Published: (2024-06-01) -
The last achievements in Steiner tree approximations
by: A.Zelikovsky
Published: (1993-02-01) -
A Boolean network control algorithm guided by forward dynamic programming.
by: Mohammad Moradi, et al.
Published: (2019-01-01) -
Approximating Buy-at-Bulk k-Steiner trees
by: Hajiaghayi, MohammadTaghi, et al.
Published: (2006)