Evidence map›Paper›PMID 27230879›Full record

ArticleGenome biology2016

Computing tumor trees from single cells.

Alexander Davis, Nicholas E Navin

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Sc-TUSV-Ext: Single-Cell Clonal Lineage Inference from Single Nucleotide Variants, Copy Number Alterations, and Structural Variants.Journal of computational biology : a journal of computational molecular cell biology · 2025
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Phylogenetic Copy-Number Factorization of Multiple Tumor Samples.Journal of computational biology : a journal of computational molecular cell biology · 2018
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

2 authors.

Alexander DavisDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Nicholas E NavinDepartment of Genetics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA. nnavin@mdanderson.org.

Funding

Single-Cell Sequencing of Breast Tumors to Investigate Genome EvolutionR01CA169244 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI NAVIN, NICHOLAS · 2012 to 2016
$1.6M
NCI NIH HHS R01 CA169244
6 · The paper itself

Abstract

Computational methods have been developed to reconstruct evolutionary lineages from tumors using single-cell genomic data. The resulting tumor trees have important applications in cancer research and clinical oncology.Please see related Research articles: http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0929-9 and http://genomebiology.biomedcentral.com/articles/10.1186/s13059-016-0936-x .

Indexed as

Single-Cell AnalysisCell Transformation, NeoplasticClonal EvolutionComputational BiologyGenetic HeterogeneityGenomicsHigh-Throughput Nucleotide SequencingHumansMarkov ChainsMonte Carlo MethodMutationNeoplasmsPhylogeny

Identifiers

PMID27230879
PMCPMC4881295

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.