Results 251 to 260 of about 141,521 (289)

Phylogeny-driven pangenome analysis uncovers the genomic landscape of domesticated and wild Armeniaca species. [PDF]

open access: yesHortic Res
Blanchard I   +12 more
europepmc   +1 more source

KIF18A inhibitor prevents chromosomally unstable osteosarcoma growth by activating spindle assembly checkpoint. [PDF]

open access: yesCancer Biol Ther
Yan Q   +8 more
europepmc   +1 more source

Metagenome-based virome analysis identifies the oral viral signatures for periodontitis. [PDF]

open access: yesJ Oral Microbiol
Chu T   +6 more
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]

open access: yesEmerg Microbes Infect
Jain S   +10 more
europepmc   +1 more source

Identifying Clusters in Graph Representations of Genomes [PDF]

open access: possible, 2023
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]

open access: yesIEEE/ACM Transactions on Computational Biology and Bioinformatics, 2007
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]

open access: possibleProceedings of the 3rd Asia-Pacific Bioinformatics Conference, 2005
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

Home - About - Disclaimer - Privacy