Evidence map›Paper›PMID 28605768›Full record

ArticleDatabase : the journal of biological databases and curation2017

Surveying the Maize community for their diversity and pedigree visualization needs to prioritize tool development and curation.

Taner Z Sen, Bremen L Braun, David A Schott, John L Portwood Ii, Mary L Schaeffer, Lisa C Harper, Jack M Gardiner, Ethalinda K Cannon, Carson M Andorf

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2017. 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
–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

2 citing papers in PubMed.

  1. Article
  2. SNPversity: a web-based tool for visualizing diversity.Database : the journal of biological databases and curation · 2018
    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

9 authors.

Taner Z SenU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
Bremen L BraunU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
David A SchottU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
John L Portwood IiU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
Mary L SchaefferUSDA-ARS Plant Genetics Research Unit, University of Missouri, Columbia, MO 65211, USA.
Lisa C HarperU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
Jack M GardinerDivision of Animal Sciences, University of Missouri, Columbia, MO 65211, USA.
Ethalinda K CannonU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.
Carson M AndorfU.S. Department of Agriculture- Agricultural Research Service (USDA-ARS) Corn Insects and Crop Genetics Research Unit, Iowa State University, Ames, IA 50011, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Maize Genetics and Genomics Database (MaizeGDB) team prepared a survey to identify breeders’ needs for visualizing pedigrees, diversity data and haplotypes in order to prioritize tool development and curation efforts at MaizeGDB. The survey was distributed to the maize research community on behalf of the Maize Genetics Executive Committee in Summer 2015. The survey garnered 48 responses from maize researchers, of which more than half were self-identified as breeders. The survey showed that the maize researchers considered their top priorities for visualization as: (i) displaying single nucleotide polymorphisms in a given region for a given list of lines, (ii) showing haplotypes for a given list of lines and (iii) presenting pedigree relationships visually. The survey also asked which populations would be most useful to display. The following two populations were on top of the list: (i) 3000 publicly available maize inbred lines used in Romay et al. (Comprehensive genotyping of the USA national maize inbred seed bank. Genome Biol, 2013;14:R55) and (ii) maize lines with expired Plant Variety Protection Act (ex-PVP) certificates. Driven by this strong stakeholder input, MaizeGDB staff are currently working in four areas to improve its interface and web-based tools: (i) presenting immediate progenies of currently available stocks at the MaizeGDB Stock pages, (ii) displaying the most recent ex-PVP lines described in the Germplasm Resources Information Network (GRIN) on the MaizeGDB Stock pages, (iii) developing network views of pedigree relationships and (iv) visualizing genotypes from SNP-based diversity datasets. These survey results can help other biological databases to direct their efforts according to user preferences as they serve similar types of data sets for their communities. Database URL: https://www.maizegdb.org.

Indexed as

Databases, GeneticGenetic VariationHaplotypesUser-Computer InterfaceWeb BrowserMolecular Sequence AnnotationZea mays

Identifiers

PMID28605768
PMCPMC5467559

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.