Evidence map›Paper›PMID 28265566›Full record

ArticleInternational journal of genomics2017

Whole-Genome Characteristics and Polymorphic Analysis of Vietnamese Rice Landraces as a Comprehensive Information Resource for Marker-Assisted Selection.

Hien Trinh, Khoa Truong Nguyen, Lam Van Nguyen, Huy Quang Pham, Can Thu Huong, Tran Dang Xuan, La Hoang Anh, Mario Caccamo, Sarah Ayling, Nguyen Thuy Diep and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of genomics, 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. Review
  2. 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

13 authors.

Hien TrinhLaboratory of Bioinformatics, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.
Khoa Truong NguyenDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Km2 Pham Van Dong, Tuliem, Hanoi, Vietnam.
Lam Van NguyenLaboratory of Bioinformatics, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.
Huy Quang PhamLaboratory of Bioinformatics, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.
Can Thu HuongGraduate School for International Development and Cooperation, Hiroshima University, Hiroshima 739-8529, Japan.
Tran Dang XuanGraduate School for International Development and Cooperation, Hiroshima University, Hiroshima 739-8529, Japan.
La Hoang AnhGraduate School for International Development and Cooperation, Hiroshima University, Hiroshima 739-8529, Japan.
Mario CaccamoGenetics and Breeding, National Institute of Agricultural Botany, Cambridge, UK.
Sarah AylingGenetics and Breeding, National Institute of Agricultural Botany, Cambridge, UK.
Nguyen Thuy DiepDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Km2 Pham Van Dong, Tuliem, Hanoi, Vietnam.
Cuong NguyenLaboratory of Bioinformatics, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet, Cau Giay, Hanoi, Vietnam.ORCID 0000-0002-1745-248X
Khuat Huu TrungDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Km2 Pham Van Dong, Tuliem, Hanoi, Vietnam.
Tran Dang KhanhDepartment of Genetic Engineering, Agricultural Genetics Institute, Vietnam Academy of Agricultural Sciences, Km2 Pham Van Dong, Tuliem, Hanoi, Vietnam.ORCID 0000-0003-4426-7121

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next generation sequencing technologies have provided numerous opportunities for application in the study of whole plant genomes. In this study, we present the sequencing and bioinformatic analyses of five typical rice landraces including three

Identifiers

PMID28265566
PMCPMC5318636

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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.