Evidence map›Paper›PMID 23056003›Full record

ArticleFrontiers in plant science2012

RNA-Seq Assembly - Are We There Yet?

Simon Schliesky, Udo Gowik, Andreas P M Weber, Andrea Bräutigam

Abstract read
In one paragraph

Article in Frontiers in plant science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  5. Article
  6. Transcriptome Analysis of Maternal Gene Transcripts in Unfertilized Eggs ofInternational journal of molecular sciences · 2020
    Article
  7. Article
  8. Article
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  12. Article
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  15. PeerJ · 2018
    Article
  16. Article
  17. RNA-seq of Rice Yellow Stem BorerG3 (Bethesda, Md.) · 2017
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Simon SchlieskyCenter of Excellence on Plant Sciences (CEPLAS), Institute for Plant Biochemistry, Heinrich Heine University Düsseldorf, Germany.
Udo Gowik
Andreas P M Weber
Andrea Bräutigam

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomic sequence resources represent invaluable assets for research, in particular for non-model species without a sequenced genome. To date, the Next Generation Sequencing technologies 454/Roche and Illumina have been used to generate transcriptome sequence databases by mRNA-Seq for more than fifty different plant species. While some of the databases were successfully used for downstream applications, such as proteomics, the assembly parameters indicate that the assemblies do not yet accurately reflect the actual plant transcriptomes. Two different assembly strategies have been used, overlap consensus based assemblers for long reads and Eulerian path/de Bruijn graph assembler for short reads. In this review, we discuss the challenges and solutions to the transcriptome assembly problem. A list of quality control parameters and the necessary scripts to produce them are provided.

Indexed as

assemblynext generation sequencingNGSplantRNA-seqtranscriptome

Identifiers

PMID23056003
PMCPMC3457010

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.