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 ...

The unexpected discovery of a new type of genetic variation suggests that natural selection -- the force that drives evolution -- is both more powerful and more complex than scientists have thought.

Statistical information is often shown using graphs and other diagrams. These can be easier to read than lists of numbers. You should be able to read and draw the following: The type of graph you use ...

Katelyn Peters has a writer and editor for more than five years who focuses on both investing and personal finance content. In addition to her experience in finance, she is also a volunteer editorial ...

Graphs are a useful way to show numerical data. There are a variety of graphs that can help highlight patterns and be used to reach conclusions. Choosing the right graph is very important. A bar chart ...

Protein variation, which accounts for large amounts of the complexity in biological systems and our bodies, can come in many different forms. The different types of variation, namely variations in the ...