Evidence map›Paper›PMID 25355510›Full record

ArticleNucleic acids research2015

AraNet v2: an improved database of co-functional gene networks for the study of Arabidopsis thaliana and 27 other nonmodel plant species.

Tak Lee, Sunmo Yang, Eiru Kim, Younhee Ko, Sohyun Hwang, Junha Shin, Jung Eun Shim, Hongseok Shim, Hyojin Kim, Chanyoung Kim and 1 more

Abstract 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 91 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 1 pooled it
–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

91 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Genome-Wide Identification and Expression Analysis of the Alfalfa (International journal of molecular sciences · 2024
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31 more citing papers are in PubMed but not listed here.

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.

Tak LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Sunmo YangDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Eiru KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Younhee KoDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Sohyun HwangDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea Center for Systems and Synthetic Biology, Institute for Cellular and Molecular Biology, University of Texas at Austin, TX 78712, USA.
Junha ShinDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Jung Eun ShimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Hongseok ShimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Hyojin KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Chanyoung KimDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea.
Insuk LeeDepartment of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Korea insuklee@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arabidopsis thaliana is a reference plant that has been studied intensively for several decades. Recent advances in high-throughput experimental technology have enabled the generation of an unprecedented amount of data from A. thaliana, which has facilitated data-driven approaches to unravel the genetic organization of plant phenotypes. We previously published a description of a genome-scale functional gene network for A. thaliana, AraNet, which was constructed by integrating multiple co-functional gene networks inferred from diverse data types, and we demonstrated the predictive power of this network for complex phenotypes. More recently, we have observed significant growth in the availability of omics data for A. thaliana as well as improvements in data analysis methods that we anticipate will further enhance the integrated database of co-functional networks. Here, we present an updated co-functional gene network for A. thaliana, AraNet v2 (available at http://www.inetbio.org/aranet), which covers approximately 84% of the coding genome. We demonstrate significant improvements in both genome coverage and accuracy. To enhance the usability of the network, we implemented an AraNet v2 web server, which generates functional predictions for A. thaliana and 27 nonmodel plant species using an orthology-based projection of nonmodel plant genes on the A. thaliana gene network.

Indexed as

Databases, GeneticGene Expression Regulation, PlantGene Regulatory NetworksArabidopsisGenome, PlantInternetPhenotype

Identifiers

PMID25355510
PMCPMC4383895

What OpenQuestion holds

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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.