Evidence map›Paper›PMID 27760567›Full record

ArticleGenome biology2016

TransComb: genome-guided transcriptome assembly via combing junctions in splicing graphs.

Juntao Liu, Ting Yu, Tao Jiang, Guojun Li

Abstract read
In one paragraph

Article in Genome biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Minimum flow decomposition guided by saturating subflows.bioRxiv : the preprint server for biology · 2026
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  6. Accurate assembly of multiple RNA-seq samples with Aletsch.Bioinformatics (Oxford, England) · 2024
    Article
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  8. Article
  9. Review
  10. OnACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2023
    Article
  11. Article
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  17. Exact transcript quantification over splice graphs.Algorithms for molecular biology : AMB · 2021
    Article
  18. Article
  19. More Accurate Transcript Assembly via Parameter Advising.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
  20. Exploring Additional Valuable Information From Single-Cell RNA-Seq Data.Frontiers in cell and developmental biology · 2020
    Review
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.

Juntao LiuSchool of Mathematics, Shandong University, Jinan, 250100, China.
Ting YuSchool of Mathematics, Shandong University, Jinan, 250100, China.
Tao JiangDepartment of Computer Science and Engineering, University of California, Riverside, CA, 92521, USA. jiang@cs.ucr.edu.
Guojun LiSchool of Mathematics, Shandong University, Jinan, 250100, China. guojunsdu@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome assemblers aim to reconstruct full-length transcripts from RNA-seq data. We present TransComb, a genome-guided assembler developed based on a junction graph, weighted by a bin-packing strategy and paired-end information. A newly designed extension method based on weighted junction graphs can accurately extract paths representing expressed transcripts, whether they have low or high expression levels. Tested on both simulated and real datasets, TransComb demonstrates significant improvements in both recall and precision over leading assemblers, including StringTie, Cufflinks, Bayesembler, and Traph. In addition, it runs much faster and requires less memory on average. TransComb is available at http://sourceforge.net/projects/transcriptomeassembly/files/ .

Indexed as

SoftwareAlgorithmsGene Expression ProfilingGene Expression RegulationHumansRNASequence Analysis, RNATranscriptomeRNAAlternative splicingIsoformRNA-seqSplicing graphTranscriptome assembly

Identifiers

PMID27760567
PMCPMC5069867

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.