Pathway enrichment analysis helps researchers gain mechanistic insight into gene lists
generated from genome-scale (omics) experiments. This method identifies biological …

Recent advances in molecular technologies have opened up unprecedented opportunities
for molecular ecologists to better understand the molecular basis of traits of ecological and …

Information on protein subcellular localization is important to understand the cellular
functions of proteins. Currently, such information is manually curated from the literature …

The current rate at which new DNA and protein sequences are being generated is too fast to
experimentally discover the functions of those sequences, emphasizing the need for …

Abstract The Gene Ontology (GO) is a formidable resource, but there are several
considerations about it that are essential to understand the data and interpret it correctly …

Motivation: Computational approaches that can predict protein functions are essential to
bridge the widening function annotation gap especially since< 1.0% of all proteins in …

Moonlighting proteins are a subclass of multifunctional proteins whose functions are
unrelated. Although they may play important roles in cells, there has been no large-scale …

Motivation The computational prediction of gene function is a key step in making full use of
newly sequenced genomes. Function is generally predicted by transferring annotations from …

Abstract The Gene Ontology (GO) project is the largest resource for cataloguing gene
function. The combination of solid conceptual underpinnings and a practical set of features …

Orthologous relationships between genes are routinely inferred from bidirectional best hits
(BBH) in pairwise genome comparisons. However, to our knowledge, it has never been …