ArticleJournal of computational biology : a journal of computational molecular cell biology2013
A new software package for predictive gene regulatory network modeling and redesign.
Article in Journal of computational biology : a journal of computational molecular cell biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed, 8 citations in OpenAlex.
- Eric Davidson's Regulatory Genome for Computer Science: Causality, Logic, and Proof Principles of the GenomicJournal of computational biology : a journal of computational molecular cell biology · 2019Article
- The bHLH transcription factor SPATULA enables cytokinin signaling, and both activate auxin biosynthesis and transport genes at the medial domain of the gynoecium.PLoS genetics · 2017Article
- Eric Davidson: Steps to a gene regulatory network for development.Developmental biology · 2016Article
- From blastocyst to gastrula: gene regulatory networks of embryonic stem cells and early mouse embryogenesis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The efficacy of a newly created software package for predictive modeling of developmental gene regulatory networks (GRNs) has recently been demonstrated (Peter et al., 2012 ). The program GeNeTool computes spatial gene expression patterns based on GRN interactions and thereby allows the direct comparison of predicted and observed spatial expression patterns. GeNeTool also permits in silico exploration of both cis- and trans- perturbations of GRN interactions. Here, we present this program, review briefly its major features and applications, and provide a detailed and accessible tutorial.
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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.