Evidence map›Paper›PMID 29270228›Full record

ArticleBioData mining2017

J Grey Monroe, Zachariah A Allen, Paul Tanger, Jack L Mullen, John T Lovell, Brook T Moyers, Darrell Whitley, John K McKay

Abstract read
In one paragraph

Article in BioData mining, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. G3 (Bethesda, Md.) · 2020
    Article
  8. QTL × environment interactions underlie adaptive divergence in switchgrass across a large latitudinal gradient.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. Article
  10. Review
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

8 authors.

J Grey Monroe *Department of Bioagricultural Sciences & Pest Management, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523 USA.
Zachariah A Allen *Department of Computer Sciences, Colorado State University, Fort Collins, CO 80523 USA.
Paul TangerDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523 USA.
Jack L MullenDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523 USA.
John T LovellGenome Sequencing Center, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806 USA.
Brook T MoyersDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523 USA.
Darrell WhitleyDepartment of Computer Sciences, Colorado State University, Fort Collins, CO 80523 USA.
John K McKayDepartment of Bioagricultural Sciences & Pest Management, Colorado State University, 1177 Campus Delivery, Fort Collins, CO 80523 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent advances in nucleic acid sequencing technologies have led to a dramatic increase in the number of markers available to generate genetic linkage maps. This increased marker density can be used to improve genome assemblies as well as add much needed resolution for loci controlling variation in ecologically and agriculturally important traits. However, traditional genetic map construction methods from these large marker datasets can be computationally prohibitive and highly error prone.

resultsWe present

conclusionsWith the advancement of low cost sequencing technologies, the number of markers used in the generation of genetic maps is expected to continue to rise.

Indexed as

Genetic mappingGenomic markersGenotyping by sequencingLinkageNext generation sequencingTravelling salesperson problem

Identifiers

PMID29270228
PMCPMC5735504

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.