Evidence map›Paper›PMID 29905763›Full record

ArticleBioinformatics (Oxford, England)2018

IDP-denovo: de novo transcriptome assembly and isoform annotation by hybrid sequencing.

Shuhua Fu, Yingke Ma, Hui Yao, Zhichao Xu, Shilin Chen, Jingyuan Song, Kin Fai Au

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  4. Review
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  9. Evolution of gene regulatory network of CPlant communications · 2023
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  13. Review
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  15. RNA-Seq in Nonmodel Organisms.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
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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 at 2 institutions in 2 countries.

Shuhua FuDepartment of Internal Medicine, University of Iowa, Iowa City, USA.
Yingke MaDepartment of Internal Medicine, University of Iowa, Iowa City, USA.
Hui YaoInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Zhichao XuInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Shilin ChenInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Jingyuan SongInstitute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
Kin Fai AuDepartment of Internal Medicine, University of Iowa, Iowa City, USA.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Christopher K Laubenthal · 2000 to 2026
$70.0M
Bioinformatics platform for Hybrid-Seq transcriptome data analysisR01HG008759 · NHGRI · UNIVERSITY OF IOWA · PI AU, KIN FAI · 2016 to 2020
$1.9M
NHGRI NIH HHS R01 HG008759
6 · The paper itself

Abstract

Motivation: In the past years, the long read (LR) sequencing technologies, such as Pacific Biosciences and Oxford Nanopore Technologies, have been demonstrated to substantially improve the quality of genome assembly and transcriptome characterization. Compared to the high cost of genome assembly by LR sequencing, it is more affordable to generate LRs for transcriptome characterization. That is, when informative transcriptome LR data are available without a high-quality genome, a method for de novo transcriptome assembly and annotation is of high demand. Results: Without a reference genome, IDP-denovo performs de novo transcriptome assembly, isoform annotation and quantification by integrating the strengths of LRs and short reads. Using the GM12878 human data as a gold standard, we demonstrated that IDP-denovo had superior sensitivity of transcript assembly and high accuracy of isoform annotation. In addition, IDP-denovo outputs two abundance indices to provide a comprehensive expression profile of genes/isoforms. IDP-denovo represents a robust approach for transcriptome assembly, isoform annotation and quantification for non-model organism studies. Applying IDP-denovo to a non-model organism, Dendrobium officinale, we discovered a number of novel genes and novel isoforms that were not reported by the existing annotation library. These results reveal the high diversity of gene isoforms in D.officinale, which was not reported in the existing annotation library. Availability and implementation: The dataset of Dendrobium officinale used/analyzed during the current study has been deposited in SRA, with accession code SRP094520. IDP-denovo is available for download at www.healthcare.uiowa.edu/labs/au/IDP-denovo/. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Alternative SplicingGene LibraryDendrobiumGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansSequence Analysis, RNA

Identifiers

PMID29905763
PMCPMC6022631
OpenAlexW2794241885

What OpenQuestion holds

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LicenceCC BY
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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.