Notably, these results solely based on sequence and network information are only marginally worse than 3D-structure derived predictions by NOXClass [ 17].
Primary annotations based on sequence similarity are linked to networks of systematic annotation in Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) and can be queried and computationally utilized in downstream analyses.
None of the DPRK haplotypes were shared with the aromatic subpopulation from the Mini-Rice Diversity Panel. Figure 3 Chloroplast haplotype network based on sequence information.
Ofran and Rost [ 24] proposed a neural network based on sequence to predict hot spots.
Sequence similarity network analyses, based on sequence similarity [ 30- 35] offer an extension to sequence clustering analyses.
To do this, nodes in sequence similarity networks were labelled based on sequence properties.
GO semantic similarity measures are tools that can be used to develop efficient and reliable strategies that allow function inference of uncharacterized proteins based on sequence comparison, microarray data analysis, or interaction networks.
Some applications classify genes based on sequence features [12], or use protein-protein interaction networks [9], [13] while others (GeneSeeker, SUSPECTS) combine different approaches.
Netphos [ 12] was the first predictor to use neural networks in 1999, outperforming phosphorylation site identification based on sequence motifs alone.
We created miRNA association network by using miRNAs sharing target genes based on sequence complementarity and co-expression patterns of miRNA-target pairs.
