Efforts to mitigate reference-allele bias and increase the genetic diversity of reference genomes have led to graph-based references (14, 15).We have previously shown that a genome graph, which ...

Learned factor graphs can be realized using compact neural networks that are trainable using small training sets, or alternatively, be used to improve upon existing deep inference systems. We present ...

pggb builds pangenome variation graphs from a set of input sequences. A pangenome variation graph is a kind of generic multiple sequence alignment. It lets us understand any kind of sequence variation ...

Some strange mathematical sequences are always whole numbers — until they’re not. The puzzling patterns have revealed ties to graph theory and prime numbers, awing mathematicians. Simple, yes, but ...

Applying word2vec to sampled sequences from a graph. Detail The sampling procedure is implemented in c++ with pthread, providing python wrapper, so it would be fast.

Graphons are limit objects of sequences of graphs and are used to analyze the behavior of large graphs. Recently, graphon signal processing has been developed to study signal processing on large ...

We consider sequences of graphs (Gn) and define various notions of convergence related to these sequences: “left convergence” defined in terms of the densities of homomorphisms from small graphs into ...