Evidence map›Paper›PMID 36145766›Full record

ArticlePlants (Basel, Switzerland)2022

Normalized Workflow to Optimize Hybrid De Novo Transcriptome Assembly for Non-Model Species: A Case Study in

Morteza Sheikh-Assadi, Roohangiz Naderi, Seyed Alireza Salami, Mohsen Kafi, Reza Fatahi, Vahid Shariati, Federico Martinelli, Angela Cicatelli, Maria Triassi, Francesco Guarino and 2 more

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. First EST-SSRs ofPlants (Basel, Switzerland) · 2025
    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

12 authors at 6 institutions in 3 countries.

Morteza Sheikh-AssadiDepartment of Horticultural Science, Faculty of Agricultural Science and Engineering, University of Tehran, Karaj 31587-77871, Iran.
Roohangiz NaderiDepartment of Horticultural Science, Faculty of Agricultural Science and Engineering, University of Tehran, Karaj 31587-77871, Iran.
Seyed Alireza SalamiDepartment of Horticultural Science, Faculty of Agricultural Science and Engineering, University of Tehran, Karaj 31587-77871, Iran.
Mohsen KafiDepartment of Horticultural Science, Faculty of Agricultural Science and Engineering, University of Tehran, Karaj 31587-77871, Iran.
Reza FatahiDepartment of Horticultural Science, Faculty of Agricultural Science and Engineering, University of Tehran, Karaj 31587-77871, Iran.ORCID 0000-0001-5300-1582
Vahid ShariatiNIGEB Genome Center, National Institute of Genetic Engineering and Biotechnology, Tehran 14965/161, Iran.
Federico MartinelliDepartment of Biology, University of Florence, 50019 Sesto Fiorentino, Italy.ORCID 0000-0002-8502-767X
Angela CicatelliDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, 84084 Fisciano, Italy.ORCID 0000-0001-6996-3495
Maria TriassiDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.
Francesco GuarinoDepartment of Chemistry and Biology "A. Zambelli", University of Salerno, 84084 Fisciano, Italy.ORCID 0000-0001-8536-4257
Giovanni ImprotaDepartment of Public Health, University of Naples "Federico II", 80131 Naples, Italy.ORCID 0000-0002-9485-1687
Manuel Gonzalo ClarosMolecular Biology and Biochemistry Department, University of Málaga, 29071 Málaga, Spain.ORCID 0000-0002-0112-3550
University of Tehran · IRUniversity of Naples Federico II · ITUniversity of Salerno · ITCentre for Biomedical Network Research on Rare Diseases · ESNational Institute of Genetic Engineering and Biotechnology · IRUniversity of Florence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A high-quality transcriptome is required to advance numerous bioinformatics workflows. Nevertheless, the effectuality of tools for de novo assembly and real precision assembled transcriptomes looks somewhat unexplored, particularly for non-model organisms with complicated (very long, heterozygous, polyploid) genomes. To disclose the performance of various transcriptome assembly programs, this study built 11 single assemblies and analyzed their performance on some significant reference-free and reference-based criteria. As well as to reconfirm the outputs of benchmarks, 55 BLAST were performed and compared using 11 constructed transcriptomes. Concisely, normalized benchmarking demonstrated that Velvet-Oases suffer from the worst results, while the EvidentialGene strategy can provide the most comprehensive and accurate transcriptome of

Indexed as

de novo assemblyhybrid transcriptomenon-model organismsnormalized comparisonoptimizationtranscriptomics

Identifiers

PMID36145766
PMCPMC9503428
OpenAlexW4296588547

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.