Phylogeny-driven pangenome analysis uncovers the genomic landscape of domesticated and wild Armeniaca species. [PDF]
Blanchard I +12 more
europepmc +1 more source
KIF18A inhibitor prevents chromosomally unstable osteosarcoma growth by activating spindle assembly checkpoint. [PDF]
Yan Q +8 more
europepmc +1 more source
Metagenome-based virome analysis identifies the oral viral signatures for periodontitis. [PDF]
Chu T +6 more
europepmc +1 more source
Complexity welcome: Pangenome graphs for comprehensive population genomics. [PDF]
Bao Z, Weigel D.
europepmc +1 more source
Targeted cleavage site mutations in the Gn precursor enable efficient generation of replication-competent rVSV-based surrogates for emerging nairoviruses. [PDF]
Jain S +10 more
europepmc +1 more source
Insights into goatpox virus and sheeppox virus genomes from pangenome graphs
Downing T.
europepmc +1 more source
Suppression of LncRNA AC008406.3 sensitizes breast cancer cells to docetaxel via triggering cuproptosis. [PDF]
Liu C +7 more
europepmc +1 more source
Identifying Clusters in Graph Representations of Genomes [PDF]
Abstract In many bioinformatics applications the task is to identify biologically significant locations in an individual genome. In our work, we are interested in finding high-density clusters of such biologically meaningful locations in a graph representation of a pangenome, which is a collection of related genomes.
Eva Herencsárová, Broňa Brejová
openaire +1 more source
Colored de Bruijn Graphs and the Genome Halving Problem [PDF]
Breakpoint graph analysis is a key algorithmic technique in studies of genome rearrangements. However, breakpoint graphs are defined only for genomes without duplicated genes, thus limiting their applications in rearrangement analysis.
Pavel Pevzner, Max A Alekseyev
exaly +3 more sources
A GRAPH DATABASE WITH VISUAL QUERIES FOR GENOMICS [PDF]
Effective management of data is a major issue in genomics. Genomics data consists of highly interrelated information about genes, proteins, patterns, classifications, and interactions. Graph databases, which model graphs or networks of data, seem a natural way to manage genomics data.
Greg Butler +3 more
openaire +1 more source

