Every animal grows from a single fertilized egg into an intricate network of cell types and
organ systems. This process is captured in a lineage tree: a diagram of every cell's ancestry …

Abstract Background Convolutional Neural Networks can be effectively used only when data
are endowed with an intrinsic concept of neighbourhood in the input space, as is the case of …

Once considered 'weird wonders' of the Cambrian, the emblematic Burgess Shale animals
Anomalocaris and Opabinia are now recognized as lower stem-group euarthropods and …

Phylogenetic analysis is used to analyze the evolution of species according to the
characteristics of biological sequences. The analytical results are generally represented by …

Oligopeptides transporter (OPT) can maintain intracellular metal homeostat, however, their
evolutionary characteristics, as well as their expression patterns in heavy metal exposure …

Repeated runs of the same program can generate different molecular phylogenies from
identical data sets under the same analytical conditions. This lack of reproducibility of …

Phylogenetic trees are a central tool in many areas of life science and medicine. They
demonstrate evolutionary patterns among species, genes, and patterns of ancestry among …

Archaeological and genomic evidence suggest that modern Homo sapiens have roamed the
planet for some 300–500 thousand years. In contrast, global human mitochondrial (mtDNA) …

Phylogenetic inferences under the maximum likelihood criterion deploy heuristic tree search
strategies to explore the vast search space. Depending on the input dataset, searches from …

Modern infectious disease outbreak surveillance produces continuous streams of sequence
data which require phylogenetic analysis as data arrives. Current software packages for …