Evidence map›Paper›PMID 35081992›Full record

ArticleGenome biology2022

CellPhy: accurate and fast probabilistic inference of single-cell phylogenies from scDNA-seq data.

Alexey Kozlov, Joao M Alves, Alexandros Stamatakis, David Posada

Abstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Alexey KozlovComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118, Heidelberg, Germany.
Joao M AlvesCINBIO, Universidade de Vigo, 36310, Vigo, Spain.
Alexandros StamatakisComputational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, 69118, Heidelberg, Germany.
David PosadaCINBIO, Universidade de Vigo, 36310, Vigo, Spain. dposada@uvigo.es.ORCID 0000-0003-1407-3406

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce CellPhy, a maximum likelihood framework for inferring phylogenetic trees from somatic single-cell single-nucleotide variants. CellPhy leverages a finite-site Markov genotype model with 16 diploid states and considers amplification error and allelic dropout. We implement CellPhy into RAxML-NG, a widely used phylogenetic inference package that provides statistical confidence measurements and scales well on large datasets with hundreds or thousands of cells. Comprehensive simulations suggest that CellPhy is more robust to single-cell genomics errors and outperforms state-of-the-art methods under realistic scenarios, both in accuracy and speed. CellPhy is freely available at https://github.com/amkozlov/cellphy .

Indexed as

AlgorithmsSoftwareGenomicsGenotypePhylogenyCell lineage treesGenotype evolutionSingle-cell genomicsSingle-cell phylogeniesSomatic phylogenetics

Identifiers

PMID35081992
PMCPMC8790911

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.