Evidence map›Paper›PMID 28768814›Full record

ArticlePlant physiology2017

Construction and Optimization of a Large Gene Coexpression Network in Maize Using RNA-Seq Data.

Ji Huang, Stefania Vendramin, Lizhen Shi, Karen M McGinnis

Abstract read
In one paragraph

Article in Plant physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Dual metabolic checkpoint blockadeBioactive materials · 2027
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  14. Effect of aneuploidy of a non-essential chromosome on gene expression in maize.The Plant journal : for cell and molecular biology · 2022
    Article
  15. Review
  16. Article
  17. Modern Approaches for Transcriptome Analyses in Plants.Advances in experimental medicine and biology · 2021
    Article
  18. Article
  19. Article
  20. 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

4 authors.

Ji HuangDepartment of Biological Science, Florida State University, Tallahassee, Florida 32306.ORCID http://orcid.org/0000-0002-6182-800X
Stefania VendraminDepartment of Biological Science, Florida State University, Tallahassee, Florida 32306.ORCID http://orcid.org/0000-0001-6612-3570
Lizhen ShiDepartment of Computer Science, Florida State University, Tallahassee, Florida 32306.
Karen M McGinnisDepartment of Biological Science, Florida State University, Tallahassee, Florida 32306 mcginnis@bio.fsu.edu.ORCID http://orcid.org/0000-0002-9564-8146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the emergence of massively parallel sequencing, genomewide expression data production has reached an unprecedented level. This abundance of data has greatly facilitated maize research, but may not be amenable to traditional analysis techniques that were optimized for other data types. Using publicly available data, a gene coexpression network (GCN) can be constructed and used for gene function prediction, candidate gene selection, and improving understanding of regulatory pathways. Several GCN studies have been done in maize (

Indexed as

Gene Regulatory NetworksAlgorithmsDatasets as TopicGene Expression ProfilingOligonucleotide Array Sequence AnalysisRNA, PlantSequence Analysis, RNAZea maysRNA, Plant

Identifiers

PMID28768814
PMCPMC5580776

What OpenQuestion holds

Textmetadata
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.