Evidence map›Paper›PMID 32817072›Full record

ArticleGenome research2020

TransBorrow: genome-guided transcriptome assembly by borrowing assemblies from different assemblers.

Ting Yu, Zengchao Mu, Zhaoyuan Fang, Xiaoping Liu, Xin Gao, Juntao Liu

Abstract read
In one paragraph

Article in Genome research, 2020. 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. LAFITE Reveals the Complexity of Transcript Isoforms in Subcellular Fractions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  4. Article
  5. Review
  6. Improving RNA Assembly via Safety and Completeness in Flow Decompositions.Journal of computational biology : a journal of computational molecular cell biology · 2022
    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

6 authors.

Ting Yu *School of Mathematics and Statistics, Shandong University (Weihai), Weihai 264209, China.
Zengchao Mu *School of Mathematics and Statistics, Shandong University (Weihai), Weihai 264209, China.
Zhaoyuan FangKey Laboratory of Systems Biology, CAS Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai 200031, China.
Xiaoping LiuSchool of Mathematics and Statistics, Shandong University (Weihai), Weihai 264209, China.
Xin GaoComputational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
Juntao LiuSchool of Mathematics and Statistics, Shandong University (Weihai), Weihai 264209, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-seq technology is widely used in various transcriptomic studies and provides great opportunities to reveal the complex structures of transcriptomes. To effectively analyze RNA-seq data, we introduce a novel transcriptome assembler, TransBorrow, which borrows the assemblies from different assemblers to search for reliable subsequences by building a colored graph from those borrowed assemblies. Then, by seeding reliable subsequences, a newly designed path extension strategy accurately searches for a transcript-representing path cover over each splicing graph. TransBorrow was tested on both simulated and real data sets and showed great superiority over all the compared leading assemblers.

Indexed as

AlgorithmsComputational BiologyGene Expression ProfilingGenome, HumanHumansProtein IsoformsRNA-SeqSoftwareTranscriptomeProtein Isoforms

Identifiers

PMID32817072
PMCPMC7462071

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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.