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The network and component clusters identified represent the minimal gene network that is globally co-expressed in Arabidopsis, irrespective of specific growth conditions.
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Based on these analyses, we believe that the identification of driver genes in tumor amplicons can be greatly facilitated by selecting statistically significant minimal recurrent amplicons and by studying gene expression patterns in conjunction with gene network data.
Apart from the conserved minimal morphogenetic module, the PLV widely differ in their genome complements but share a gene network with Polintons and virophages, suggestive of multiple gene exchanges within a shared gene pool.
Theoretical results show that the selection for robust gene networks will form minimal complexes even more sparsely connected [ 64], thus a fundamental design constraint could shape the evolution of gene network complexity.
Here we present a model that combines gene network evolution with population genetics, allowing us to study the effect of differential gene expression with general applicability and minimal assumptions.
PPARG gene network.
Instead of a minimal gene set, we computationally explored a minimal cellular-function set.
These text outfiles are created in subdirectories with explicit names, describing the exact parameters retained to perform the network reconstruction (e.g. GENENET_1e-05.50.50.0.0, for the reconstruction of a gene network at 1E-05 e-value threshold, at least 50% hit homology, 50% of homology on the smallest sequence, no best-reciprocal condition, and no minimal coverage condition).
Top gene network of under-expressed genes.
Top gene network of over-expressed genes.
Then, for a complete understanding of the mechanisms underlying gene networks it is valuable the engineering of synthetic circuits that have a minimal complexity.
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