Evidence map›Paper›PMID 35647479›Full record

ArticlePlant direct2022

Systematic prediction of EMS-induced mutations in a sorghum mutant population.

Jared M Simons, Tim C Herbert, Coleby Kauffman, Marc Y Batete, Andrew T Simpson, Yuka Katsuki, Dong Le, Danielle Amundson, Elizabeth M Buescher, Clifford Weil and 2 more

Open access · goldAbstract read
In one paragraph

Article in Plant direct, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

12 authors at 4 institutions in 1 country.

Jared M SimonsDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0002-6077-5209
Tim C HerbertDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0003-0478-1310
Coleby KauffmanDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0002-3831-9311
Marc Y BateteDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0002-0273-2163
Andrew T SimpsonDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0001-7688-789X
Yuka KatsukiDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.
Dong LeDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0003-0785-2786
Danielle AmundsonDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0003-2065-1225
Elizabeth M BuescherLand O'Lakes, Inc Arden Hills Minnesota USA.ORCID https://orcid.org/0000-0002-1540-8928
Clifford WeilDepartment of Agronomy Purdue University West Lafayette Indiana USA.ORCID https://orcid.org/0000-0002-6802-0839
Mitch TuinstraDepartment of Agronomy Purdue University West Lafayette Indiana USA.ORCID https://orcid.org/0000-0002-5322-6519
Charles Addo-QuayeDivision of Natural Sciences and Mathematics Lewis-Clark State College Lewiston Idaho USA.ORCID https://orcid.org/0000-0003-0598-5980
Lewis Clark State College · USPurdue University West Lafayette · USArdent Sound (United States) · USUniversity of Idaho · US

Funding

Women's health: interplay of maternal diet and key demographics on neurological health in the rural frontier and remote WestP20GM103408 · NIGMS · UNIVERSITY OF IDAHO · PI Carolyn Hovde Bohach · 2012 to 2026
$59.8M
NIGMS NIH HHS P20 GM103408
6 · The paper itself

Abstract

The precise detection of causal DNA mutations (deoxyribonucleic acid) is very crucial for forward genetic studies. Several sources of errors contribute to false-positive detections by current variant-calling algorithms, which impact associating phenotypes with genotypes. To improve the accuracy of mutation detection, we implemented a binning method for the accurate detection of likely ethyl methanesulfonate (EMS)-induced mutations in a sequenced mutant population. We also implemented a clustering algorithm for detecting likely false negatives with high accuracy.

Indexed as

EMS mutagenesisGATKSAMtoolssingle nucleotide polymorphismsorghumvariant‐calling

Identifiers

PMID35647479
PMCPMC9132608
OpenAlexW4281619260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.