Transferring annotation information between species through machine learning
A new machine learning strategy allows genomic knowledge to be transferred from information-rich to information-poor species.
Computational Models
158 posts
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A new tool for discovering transcriptional regulators of co-expressed genes
TF DEACoN is an in silico “screen” to identify candidate transcription factors using a public database.
The model bean? Computational modelling of Coffea growth
The model can reproduce the measured data, and so opens up avenues for applying this original procedure to other experimental data.
Modelling practices that support crop improvement
Credibility and transdisciplinarity play crucial roles in modelling to advance crop adaptation and plant improvement.
Modelling rice roots reveals how to pick up phosphorus
Combining experimentally measured single root phene datasets with a 3D continuum multiscale soilroot model enhances the mechanistic insights in soil-root processes that are important for water and P uptake.
Key Eucalyptus traits for high yield under climate change identified
Global sensitivity analysis was used to identify key traits for Eucalyptus adaptation to climate variability and change in Brazil.
Individual variation in plant dispersal and fecundity increases rates of spatial spread
The highest increases in spread rates occur when variation in dispersal positively co-varies with fecundity.
From computer to field: can in silico modelling can help us to optimise rice for possible droughts?
Advances in computational models may allow us to quickly predict responses of important food crops to environmental stresses in the field, and to identify the genetic basis of these.
Going nuts: simulating macadamia’s carbon allocation in Australia
Study proposes a new computer model for simulating macadamia tree carbon allocation.
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