For small genomes, it is possible to study genetic variation by assembling whole genomes and then comparing them via whole-genome comparison 6,7. For large genomes, such as the human genome, complete ...

Graph neural networks (GNNs) have emerged as a powerful framework for analyzing and learning from structured data represented as graphs. GNNs operate directly on graphs, as opposed to conventional ...

Different types of graphs and charts are needed to present results from experiments. Graphs and charts need to be drawn and labelled correctly. Use patterns in the data to reach a conclusion in an ...

For most of us, the word graph brings back memories (not always pleasant) of pencils and rulers and quadrille ruled paper, though a more recent generation may think instead of pie and bar charts ...