Evidence map›Paper›PMID 30052957›Full record

ArticleGigaScience2018

Leveraging multiple transcriptome assembly methods for improved gene structure annotation.

Luca Venturini, Shabhonam Caim, Gemy George Kaithakottil, Daniel Lee Mapleson, David Swarbreck

Abstract read
In one paragraph

Article in GigaScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Evolution of compound eye cell types shapes visual behaviors acrossbioRxiv : the preprint server for biology · 2026
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72 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

5 authors.

Luca VenturiniEarlham Institute, Norwich Research Park, NR47UZ, Norwich, United Kingdom.
Shabhonam CaimEarlham Institute, Norwich Research Park, NR47UZ, Norwich, United Kingdom.
Gemy George KaithakottilEarlham Institute, Norwich Research Park, NR47UZ, Norwich, United Kingdom.
Daniel Lee MaplesonEarlham Institute, Norwich Research Park, NR47UZ, Norwich, United Kingdom.
David SwarbreckEarlham Institute, Norwich Research Park, NR47UZ, Norwich, United Kingdom.

Funding

Biotechnology and Biological Sciences Research Council BB/CCG1720/1Biotechnology and Biological Sciences Research Council BB/CSP1720/1Biotechnology and Biological Sciences Research Council BB/J003743/1Biotechnology and Biological Sciences Research Council BBS/E/T/000PR9817
6 · The paper itself

Abstract

Background: The performance of RNA sequencing (RNA-seq) aligners and assemblers varies greatly across different organisms and experiments, and often the optimal approach is not known beforehand. Results: Here, we show that the accuracy of transcript reconstruction can be boosted by combining multiple methods, and we present a novel algorithm to integrate multiple RNA-seq assemblies into a coherent transcript annotation. Our algorithm can remove redundancies and select the best transcript models according to user-specified metrics, while solving common artifacts such as erroneous transcript chimerisms. Conclusions: We have implemented this method in an open-source Python3 and Cython program, Mikado, available on GitHub.

Indexed as

AlgorithmsAnimalsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansMolecular Sequence AnnotationPlantsSequence Analysis, RNASoftware

Identifiers

PMID30052957
PMCPMC6105091

What OpenQuestion holds

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LicenceCC BY
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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.