Evidence map›Paper›PMID 25608678›Full record

ArticleGenome biology2014

Evaluation of de novo transcriptome assemblies from RNA-Seq data.

Bo Li, Nathanael Fillmore, Yongsheng Bai, Mike Collins, James A Thomson, Ron Stewart, Colin N Dewey

Abstract read
In one paragraph

Article in Genome biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers.

0numbers the graph read from it
0cells of the map it votes in
139citing 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

139 citing papers in PubMed.

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  17. Unraveling the Biosynthesis of Carvacrol in Different Tissues ofInternational journal of molecular sciences · 2022
    Article
  18. Article
  19. Article
  20. Article

79 more citing papers are in PubMed but not listed here.

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

7 authors.

Bo Li
Nathanael Fillmore
Yongsheng Bai
Mike Collins
James A Thomson
Ron Stewart
Colin N Dewey

Funding

Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Computational methods for the analysis of RNA-Seq dataR01HG005232 · NHGRI · UNIVERSITY OF WISCONSIN-MADISON · PI DEWEY, COLIN NOEL · 2010 to 2012
$825k
NHGRI NIH HHS R01 HG005232NHGRI NIH HHS R01HG005232NLM NIH HHS T15 LM007359NLM NIH HHS T15LM007359
6 · The paper itself

Abstract

De novo RNA-Seq assembly facilitates the study of transcriptomes for species without sequenced genomes, but it is challenging to select the most accurate assembly in this context. To address this challenge, we developed a model-based score, RSEM-EVAL, for evaluating assemblies when the ground truth is unknown. We show that RSEM-EVAL correctly reflects assembly accuracy, as measured by REF-EVAL, a refined set of ground-truth-based scores that we also developed. Guided by RSEM-EVAL, we assembled the transcriptome of the regenerating axolotl limb; this assembly compares favorably to a previous assembly. A software package implementing our methods, DETONATE, is freely available at http://deweylab.biostat.wisc.edu/detonate.

Indexed as

SoftwareAlgorithmsAnimalsComputational BiologyComputer SimulationGene Expression ProfilingSequence Analysis, RNA

Identifiers

PMID25608678
PMCPMC4298084

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.