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Crm1-dependent Nuclear Export Signals (NESs) are clusters of alternating hydrophobic and non-hydrophobic amino acid residues between 10 to 15 amino acids in length. NESs were largely thought to follow simple consensus patterns, based on which they were categorized into 6-10 classes. However, newly discovered NESs often deviate from the established consensus patterns. Thus, identifying NESs within protein sequences remains a bioinformatics challenge.
Pubmed ID: 29482494 RIS Download
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A computational software tool to predict leucine-rich nuclear export signals (NESs) by using profiles that had been further optimized by training and combining the amino acid properties of the NES-flanking regions. It is a multiplatform command-line Perl application with activity-based NES profiles.
View all literature mentionsSoftware package to arrange multiple heatmaps and support various annotation graphics. Used to visualize associations between different sources of data sets and to reveal potential patterns.
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