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We have developed a homology-based computational pipeline ('PseudoPipe') that can search a mammalian genome and identify pseudogene sequences in a comprehensive and consistent manner. The key steps in the pipeline involve using BLAST to rapidly cross-reference potential "parent" proteins against the intergenic regions of the genome and then processing the resulting "raw hits" -- i.e. eliminating redundant ones, clustering together neighbors, and associating and aligning clusters with a unique parent. Finally, pseudogenes are classified based on a combination of criteria including homology, intron-exon structure, and existence of stop codons and frameshifts.
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Zhang et al. (Thu,) studied this question.
www.synapsesocial.com/papers/69dc3d7b4f901957bec0fee1 — DOI: https://doi.org/10.1093/bioinformatics/btl116
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:
Zhaolei Zhang
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Bioinformatics
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