Evidence map›Paper›PMID 25813048›Full record

ArticleNucleic acids research2015

RiceNet v2: an improved network prioritization server for rice genes.

Tak Lee, Taeyun Oh, Sunmo Yang, Junha Shin, Sohyun Hwang, Chan Yeong Kim, Hyojin Kim, Hongseok Shim, Jung Eun Shim, Pamela C Ronald and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
7.9field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 86 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. NetREx: Network-based Rice Expression Analysis Server for abiotic stress conditions.Database : the journal of biological databases and curation · 2022
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. A massively parallel barcoded sequencing pipeline enables generation of the first ORFeome and interactome map for rice.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  19. Article
  20. HpeNet: Co-expression Network Database forFrontiers in genetics · 2020
    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

11 authors at 3 institutions in 2 countries.

Tak LeeDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Taeyun OhThe Joint Bioenergy Institute, Emeryville CA and Department of Plant Pathology and the Genome Center, University of California, Davis, CA 95616, USA.
Sunmo YangDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Junha ShinDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Sohyun HwangDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Chan Yeong KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Hyojin KimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Hongseok ShimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Jung Eun ShimDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea.
Pamela C RonaldThe Joint Bioenergy Institute, Emeryville CA and Department of Plant Pathology and the Genome Center, University of California, Davis, CA 95616, USA insuklee@yonsei.ac.kr.
Insuk LeeDepartment of Biotechnology, College of Life Sciences and Biotechnology, Yonsei University, Seoul, Korea insuklee@yonsei.ac.kr.
Yonsei University · KRJoint BioEnergy Institute · USUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rice is the most important staple food crop and a model grass for studies of bioenergy crops. We previously published a genome-scale functional network server called RiceNet, constructed by integrating diverse genomics data and demonstrated the use of the network in genetic dissection of rice biotic stress responses and its usefulness for other grass species. Since the initial construction of the network, there has been a significant increase in the amount of publicly available rice genomics data. Here, we present an updated network prioritization server for Oryza sativa ssp. japonica, RiceNet v2 (http://www.inetbio.org/ricenet), which provides a network of 25 765 genes (70.1% of the coding genome) and 1 775 000 co-functional links. Ricenet v2 also provides two complementary methods for network prioritization based on: (i) network direct neighborhood and (ii) context-associated hubs. RiceNet v2 can use genes of the related subspecies O. sativa ssp. indica and the reference plant Arabidopsis for versatility in generating hypotheses. We demonstrate that RiceNet v2 effectively identifies candidate genes involved in rice root/shoot development and defense responses, demonstrating its usefulness for the grass research community.

Indexed as

Genes, PlantSoftwareArabidopsisGene Expression Regulation, PlantGene Regulatory NetworksInternetOryza

Identifiers

PMID25813048
PMCPMC4489288
OpenAlexW2147201730

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.