Evidence map›Paper›PMID 29873704›Full record

ArticleDatabase : the journal of biological databases and curation2018

A comparative synteny analysis tool for target-gene SNP marker discovery: connecting genomics data to breeding in Solanaceae.

Junkyoung Choe, Ji-Eun Kim, Bong-Woo Lee, Jeong Hee Lee, Moon Nam, Youn-Il Park, Sung-Hwan Jo

Open access · goldAbstract readComparative Study
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Junkyoung ChoeSEEDERS Inc, Daejeon 34015, Republic of Korea.
Ji-Eun KimSEEDERS Inc, Daejeon 34015, Republic of Korea.
Bong-Woo LeeSEEDERS Inc, Daejeon 34015, Republic of Korea.
Jeong Hee LeeSEEDERS Inc, Daejeon 34015, Republic of Korea.
Moon NamSEEDERS Inc, Daejeon 34015, Republic of Korea.
Youn-Il ParkSchool of Medicine, Biological Sciences, Chungnam National University, Daejeon 34134, Republic of Korea.
Sung-Hwan JoSEEDERS Inc, Daejeon 34015, Republic of Korea.
Seeders (South Korea) · KRChungnam National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is necessary for molecular breeders to overcome the difficulties in applying abundant genomic information to crop breeding. Candidate orthologs would be discovered more efficiently in less-studied crops if the information gained from studies of related crops were used. We developed a comparative analysis tool and web-based genome viewer to identify orthologous genes based synteny as well as sequence similarity between tomato, pepper and potato. The tool has a step-by-step interface with multiple viewing levels to support the easy and accurate exploration of functional orthologs. Furthermore, it provides access to single nucleotide-polymorphism markers from the massive genetic resource pool in order to accelerate the development of molecular markers for candidate orthologs in the Solanaceae. This tool provides a bridge between genome data and breeding by supporting effective marker development, data utilization and communication.Database URL: http://tgsol.seeders.co.kr/scomp/.

Indexed as

Databases, Nucleic AcidGenes, PlantPlant BreedingPolymorphism, Single NucleotideGenetic MarkersSolanaceaeSpecies SpecificityGenetic Markers

Identifiers

PMID29873704
PMCPMC6007222
OpenAlexW2808721457

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.