AIMC Topic: Harmful Algal Bloom

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Improved prediction of chlorophyll-a concentrations using advancing graph neural network variants.

The Science of the total environment
Accurate estimation of harmful algal blooms is essential for protecting surface water. Chlorophyll-a (Chl-a), commonly used as a proxy for estimating algal concentration, is influenced by a broad range of weather and physicochemical factors that oper...

Drivers of harmful algal blooms in coastal areas of Eastern Mediterranean: a machine learning methodological approach.

Mathematical biosciences and engineering : MBE
Harmful algal species are present in the Mediterranean Sea and are often associated with toxic events affecting the nearby coastal zones. The presence of 18 marine microalgae, at genus level, associated with potentially harmful characteristics was pr...

CyanoPATH: a knowledgebase of genome-scale functional repertoire for toxic cyanobacterial blooms.

Briefings in bioinformatics
CyanoPATH is a database that curates and analyzes the common genomic functional repertoire for cyanobacteria harmful algal blooms (CyanoHABs) in eutrophic waters. Based on the literature of empirical studies and genome/protein databases, it summarize...