Evidence map›Paper›PMID 33434218›Full record

ArticlePloS one2021

Revising transcriptome assemblies with phylogenetic information.

August Guang, Mark Howison, Felipe Zapata, Charles Lawrence, Casey W Dunn

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 4 institutions in 1 country.

August GuangCenter for Computational Biology of Human Disease, Brown University, Providence, RI, United States of America.ORCID 0000-0003-4974-1873
Mark HowisonResearch Improving People's Lives, Providence, RI, United States of America.
Felipe ZapataDepartment of Ecology & Evolutionary Biology, University of California-Los Angeles, Los Angeles, CA, United States of America.
Charles LawrenceDepartment of Applied Mathematics, Brown University, Providence, RI, United States of America.
Casey W DunnDepartment of Ecology & Evolutionary Biology, Yale University, New Haven, CT, United States of America.
Brown University · USProvidence College · USUniversity of California, Los Angeles · USYale University · US

Funding

The role of Sirtuins in neurodegenerative diseaseP20GM109035 · NIGMS · BROWN UNIVERSITY · PI LIU, YAJUN · 2016 to 2025
$22.6M
NIGMS NIH HHS P20 GM109035
6 · The paper itself

Abstract

A common transcriptome assembly error is to mistake different transcripts of the same gene as transcripts from multiple closely related genes. This error is difficult to identify during assembly, but in a phylogenetic analysis such errors can be diagnosed from gene phylogenies where they appear as clades of tips from the same species with improbably short branch lengths. treeinform is a method that uses phylogenetic information across species to refine transcriptome assemblies within species. It identifies transcripts of the same gene that were incorrectly assigned to multiple genes and reassign them as transcripts of the same gene. The treeinform method is implemented in Agalma, available at https://bitbucket.org/caseywdunn/agalma, and the general approach is relevant in a variety of other contexts.

Indexed as

TranscriptomeUser-Computer InterfaceAlgorithmsAnimalsCluster AnalysisCnidariaModels, TheoreticalPhylogeny

Identifiers

PMID33434218
PMCPMC7802918
OpenAlexW3118865073

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.