Analyses of nucleic acids (DNA and RNA) have become a staple tool for botanists to answer questions across wide variety disciplines, ranging from population genetics biogeography, ecology, development, microbiology, physiology, phylogenetics. The rise “next-generation” or “high-throughput” sequencing in particular has resulted reduced costs an explosion the number botanical studies using DNA RN...

We compare two ensemble methods to classify DNA microarray data. The methods use different strategies to face the course of dimensionality plaguing these data. One of them projects data along random coordinates, the other compresses them into independent boolean variables. Both result in random feature extraction procedures, feeding SVMs as base learners for a majority voting ensemble classifie...

Adequate comparisons of DNA and cDNA libraries from complex environments require methods for co-extraction of DNA and RNA due to the inherent heterogeneity of such samples, or risk bias caused by variations in lysis and extraction efficiencies. Still, there are few methods and kits allowing simultaneous extraction of DNA and RNA from the same sample, and the existing ones generally require opti...