Ontology highlight
ABSTRACT:
SUBMITTER: Zhang J
PROVIDER: S-EPMC5736641 | biostudies-literature | 2017 Dec
REPOSITORIES: biostudies-literature
Zhang Jin J Gao Teng T Maher Christopher A CA
Scientific reports 20171219 1
Despite the increasing quantity of tools for accurately predicting gene fusion candidates from sequencing data, we are still faced with the critical challenge of visualizing the corresponding gene fusion products to infer their biological consequence (i.e. novel protein and increased gene expression). This is currently accomplished by manually inspecting and inferring the biological consequence of top scoring gene fusion candidates. This labor-intensive process could be made easier by automating ...[more]