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Dataset Information

PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers.


ABSTRACT:

Background

Long thought "relics" of evolution, not until recently have pseudogenes been of medical interest regarding regulation in cancer. Often, these regulatory roles are a direct by-product of their close sequence homology to protein-coding genes. Novel pseudogene-gene (PGG) functional associations can be identified through the integration of biomedical data, such as sequence homology, functional pathways, gene expression, pseudogene expression, and microRNA expression. However, not all of the information has been integrated, and almost all previous pseudogene studies relied on 1:1 pseudogene-parent gene relationships without leveraging other homologous genes/pseudogenes.

Results

We produce PGG families that expand beyond the current 1:1 paradigm. First, we construct exp

SUBMITTER: Johnson TS 

PROVIDER: S-EPMC6486473 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature