Evidence map›Paper›PMID 28361686›Full record

ArticleBMC bioinformatics2017

DTL reconciliation repair.

Weiyun Ma, Dmitriy Smirnov, Ran Libeskind-Hadas

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Phylogenetic reconciliation.PLoS computational biology · 2022
    Article
  4. Article
  5. Article
  6. Reconstruction of time-consistent species trees.Algorithms for molecular biology : AMB · 2020
    Article
  7. Article
  8. Article
  9. Article
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

3 authors.

Weiyun MaDepartment of Computer Science, Harvey Mudd College, Claremont, California, USA.
Dmitriy SmirnovPomona College, Claremont, California, USA.
Ran Libeskind-HadasDepartment of Computer Science, Harvey Mudd College, Claremont, California, USA. hadas@cs.hmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMaximum parsimony phylogenetic tree reconciliation is an important technique for reconstructing the evolutionary histories of hosts and parasites, genes and species, and other interdependent pairs. Since the problem of finding temporally feasible maximum parsimony reconciliations is NP-complete, current methods use either exact algorithms with exponential worst-case running time or heuristics that do not guarantee optimal solutions.

resultsWe offer an efficient new approach that begins with a potentially infeasible maximum parsimony reconciliation and iteratively "repairs" it until it becomes temporally feasible.

conclusionsIn a non-trivial number of cases, this approach finds solutions that are better than those found by the widely-used Jane heuristic.

Indexed as

AlgorithmsModels, TheoreticalComputational BiologyEvolution, MolecularFeasibility StudiesPhylogenySoftwareDTL reconciliationPhylogenetic reconciliationUndated trees

Identifiers

PMID28361686
PMCPMC5374596

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.