RNAseq Workflow
Illumina Tru-Seq RNA-seq protocol
RNA-seq (RNA-sequencing) is a technique that can examine the quantity and sequences of RNA in a sample using next generation sequencing (NGS). It analyzes the transcriptome of gene expression patterns encoded within our RNA.
Our current workflow includes:
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Pre-process the raw high-throughput sequencing data.
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Produce gene-level count matrices using normalising offsets.
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Find statistically significant, differentially expressed genes.
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Perform pathway and gene ontology analyses.
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Generate different visualisations of the results.
Operational Wind and Solar Power Prediction
By using an innovative hybrid physical-ML model, we offer highly competitive short-term wind and solar power prediction of your power plant, allowing minimizing market penalties or optimizing maintenance periods. Our strategy relies in the optimization and training of Artificial Neural Networks from a big-data perspective, using wide meteorological datasets from physical models and ad-hoc Genetic Algorithms. Our Short-term prediction approach offers the forecast for different needs:
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Very short-term (few seconds-30 min), for power plant control and stability
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Short-term (30 min.-6h), for economic load planning and decision
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Mid-term (6h-24h), for operational security in electricity market
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Long-term (24h-1 week), for maintenance and operation scheduling