Evidence map›Paper›PMID 31428111›Full record

ArticleFrontiers in plant science2019

KnowPulse: A Web-Resource Focused on Diversity Data for Pulse Crop Improvement.

Lacey-Anne Sanderson, Carolyn T Caron, Reynold Tan, Yichao Shen, Ruobin Liu, Kirstin E Bett

Abstract read
In one paragraph

Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. The Breeding Information Management System (BIMS): an online resource for crop breeding.Database : the journal of biological databases and curation · 2021
    Article
  18. A PostgreSQL Tripal solution for large-scale genotypic and phenotypic data.Database : the journal of biological databases and curation · 2021
    Article
  19. 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

6 authors.

Lacey-Anne SandersonDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Carolyn T CaronDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Reynold TanDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Yichao ShenDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Ruobin LiuDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Kirstin E BettDepartment of Plant Sciences, University of Saskatchewan, Saskatoon, SK, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

KnowPulse (https://knowpulse.usask.ca) is a breeder-focused web portal for pulse breeders and geneticists. With a focus on diversity data, KnowPulse provides information on genetic markers, sequence variants, phenotypic traits and germplasm for chickpea, common bean, field pea, faba bean, and lentil. Genotypic data is accessible through the genotype matrix tool, displayed as a marker-by-germplasm table of genotype calls specific to germplasm chosen by the researcher. It is also summarized on genetic marker and sequence variant pages. Phenotypic data is visualized in trait distribution plots: violin plots for quantitative data and histograms for qualitative data. These plots are accessible through trait, germplasm, and experiment pages, as well as through a single page search tool. KnowPulse is built using the open-source Tripal toolkit and utilizes open-source tools including, but not limited to, species-specific JBrowse instances, a BLAST interface, and whole-genome CViTjs visualizations. KnowPulse is constantly evolving with data and tools added as they become available. Full integration of genetic maps and quantitative trait loci is imminent, and development of tools exploring structural variation is being explored.

Indexed as

diversitygenotypic datalegumesphenotypic datapulsesweb resource

Identifiers

PMID31428111
PMCPMC6690010

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.