Evidence map›Paper›PMID 23457664›Full record

ArticleDataset papers in biology2013

Extending MapMan Ontology to Tobacco for Visualization of Gene Expression.

Maurice Ht Ling, Roel C Rabara, Prateek Tripathi, Paul J Rushton, Steven X Ge

Abstract read
In one paragraph

Article in Dataset papers in biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

Maurice Ht LingDepartment of Mathematics and Statistics, South Dakota State University, Brookings, South Dakota, USA 57007.
Roel C Rabara
Prateek Tripathi
Paul J Rushton
Steven X Ge

Funding

Large-scale expression analysis of natural antisense transcriptsR01GM083226 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI GE, XIJIN · 2009 to 2012
$837k
NIGMS NIH HHS R01 GM083226
6 · The paper itself

Abstract

Microarrays are a large-scale expression profiling method which has been used to study the transcriptome of plants under various environmental conditions. However, manual inspection of microarray data is difficult at the genome level because of the large number of genes (normally at least 30,000) and the many different processes that occur within any given plant. MapMan software, which was initially developed to visualize microarray data for Arabidopsis, has been adapted to other plant species by mapping other species onto MapMan ontology. This paper provides a detailed procedure and the relevant computing codes to generate a MapMan ontology mapping file for tobacco (

Identifiers

PMID23457664
PMCPMC3583537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.