ArticlePlant physiology2018
Predicted Arabidopsis Interactome Resource and Gene Set Linkage Analysis: A Transcriptomic Analysis Resource.
Article in Plant physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed, 13 citations in OpenAlex.
- Predicted mouse interactome and network-based interpretation of differentially expressed genes.PloS one · 2022Article
- HIR V2: a human interactome resource for the biological interpretation of differentially expressed genes via gene set linkage analysis.Database : the journal of biological databases and curation · 2021Article
- Predicted rat interactome database and gene set linkage analysis.Database : the journal of biological databases and curation · 2020Article
- Predicted functional interactome of Caenorhabditis elegans and a web tool for the functional interpretation of differentially expressed genes.Biology direct · 2020Article
- Predicted Drosophila Interactome Resource and web tool for functional interpretation of differentially expressed genes.Database : the journal of biological databases and curation · 2020Article
- Chloroplast proteome analysis of Nicotiana tabacum overexpressing TERF1 under drought stress condition.Botanical studies · 2018Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An advanced functional understanding of omics data is important for elucidating the design logic of physiological processes in plants and effectively controlling desired traits in plants. We present the latest versions of the Predicted Arabidopsis Interactome Resource (PAIR) and of the gene set linkage analysis (GSLA) tool, which enable the interpretation of an observed transcriptomic change (differentially expressed genes [DEGs]) in Arabidopsis (
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Registered trials
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.