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Current model validation methodology is confined to linear models and is primarily concerned with (i) correcting inaccurate model parameters and (ii) ensuring that sufficient elements are included for these cases, using measured data.
RNA-Seq has been used to improve the genome annotations, including: (i) correcting predicted gene structures [ 10]; (ii) detecting new alternative splicing isoforms [ 11]; and (iii) discovering new genes and new transcripts [ 12, 13].
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