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Click on Slide Show at top of screen Then on View Show. Step 1 : Create model through extensive training set. AAA AAC AAG AAT ACA . . . TTG TTT. Training Set.

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  1. Click on Slide Show at top of screen Then on View Show

  2. Step 1: Create model through extensive training set AAAAACAAGAATACA . . .TTGTTT TrainingSet AAGCTTGACCAAAAAGTTAAAACACTGACGGCAAATAATCAATGACTATCAGACAGAGAATCATCGTGCTGTCAGTAAAACCTCTGATTTCGATCTTTACCATAATTGTTATGTTGTAATGACTAACCAGACTATCTTTTACAGAGCTTCTGGTTAACACTTGTCTAATTAGACATTGATAATGTTTGTGGGGGTTGGTCATCAGGAATGGTAAATAGCAATTACCCTTCAGACTTTCCTATGAGACGCTCCGCCAACGAGCAGTGTCTCTTAAAGAACGTTATGAGCGCTCAGTTAACTTCAGAAATTCACGGCGGAAATCCATAGTTATTATTACTTATGACTAAAACAAAATTACTATGGCGGCTTGTTTAATATAGATTCTGTGTTCTGAGAAATGACTTTTAAAGTCCCACTAACTTTTTTCTCATCTATTGCTATATTTCGACTTTAAAACTTATAGTAGATGGCTTAATTCTCAAATAACAAACTCATTTTTAGTAGATATTTCATGCAAACTGAGGTTTTTAGTGATATTTTCCCCTTATTGAGTACAGCCACTCCACAAACCTTAGAATGGCTACTCAATATTGCAATTGATCATGAATATCCCACTGGTAGAGCAGTTTTAATGGAAGATGCCTGGGGTAATGCAGTTTATTTCGTTGTATCTGGATGGGTAAAAGTTCGGCGCACCTGTGGAGATGATTCGGTAGCTTT Surrogate FiltersGene finders Markov Model-based recognition

  3. AAAA: 33% AAAC: 25% AAAG: 12% AAAT: 30% Surrogate FiltersGene finders Markov Model-based recognition Step 1: Create model through extensive training set AAAAACAAGAATACA . . .TTGTTT TrainingSet AAGCTTGACCAAAAAGTTAAAACACTGACGGCAAATAATCAATGACTATCAGACAGAGAATCATCGTGCTGTCAGTAAAACCTCTGATTTCGATCTTTACCATAATTGTTATGTTGTAATGACTAACCAGACTATCTTTTACAGAGCTTCTGGTTAACACTTGTCTAATTAGACATTGATAATGTTTGTGGGGGTTGGTCATCAGGAATGGTAAATAGCAATTACCCTTCAGACTTTCCTATGAGACGCTCCGCCAACGAGCAGTGTCTCTTAAAGAACGTTATGAGCGCTCAGTTAACTTCAGAAATTCACGGCGGAAATCCATAGTTATTATTACTTATGACTAAAACAAAATTACTATGGCGGCTTGTTTAATATAGATTCTGTGTTCTGAGAAATGACTTTTAAAGTCCCACTAACTTTTTTCTCATCTATTGCTATATTTCGACTTTAAAACTTATAGTAGATGGCTTAATTCTCAAATAACAAACTCATTTTTAGTAGATATTTCATGCAAACTGAGGTTTTTAGTGATATTTTCCCCTTATTGAGTACAGCCACTCCACAAACCTTAGAATGGCTACTCAATATTGCAATTGATCATGAATATCCCACTGGTAGAGCAGTTTTAATGGAAGATGCCTGGGGTAATGCAGTTTATTTCGTTGTATCTGGATGGGTAAAAGTTCGGCGCACCTGTGGAGATGATTCGGTAGCTTT

  4. AACA: 30% AACC: 20% AACG: 15% AACT: 35% Surrogate FiltersGene finders Markov Model-based recognition Step 1: Create model through extensive training set AAAAACAAGAATACA . . .TTGTTT TrainingSet AAGCTTGACCAAAAAGTTAAAACACTGACGGCAAATAATCAATGACTATCAGACAGAGAATCATCGTGCTGTCAGTAAAACCTCTGATTTCGATCTTTACCATAATTGTTATGTTGTAATGACTAACCAGACTATCTTTTACAGAGCTTCTGGTTAACACTTGTCTAATTAGACATTGATAATGTTTGTGGGGGTTGGTCATCAGGAATGGTAAATAGCAATTACCCTTCAGACTTTCCTATGAGACGCTCCGCCAACGAGCAGTGTCTCTTAAAGAACGTTATGAGCGCTCAGTTAACTTCAGAAATTCACGGCGGAAATCCATAGTTATTATTACTTATGACTAAAACAAAATTACTATGGCGGCTTGTTTAATATAGATTCTGTGTTCTGAGAAATGACTTTTAAAGTCCCACTAACTTTTTTCTCATCTATTGCTATATTTCGACTTTAAAACTTATAGTAGATGGCTTAATTCTCAAATAACAAACTCATTTTTAGTAGATATTTCATGCAAACTGAGGTTTTTAGTGATATTTTCCCCTTATTGAGTACAGCCACTCCACAAACCTTAGAATGGCTACTCAATATTGCAATTGATCATGAATATCCCACTGGTAGAGCAGTTTTAATGGAAGATGCCTGGGGTAATGCAGTTTATTTCGTTGTATCTGGATGGGTAAAAGTTCGGCGCACCTGTGGAGATGATTCGGTAGCTTT

  5. 3rd order Markov model A C G TAAA 0.33 0.25 0.12 0.30AAC 0.30 0.20 0.15 0.35AAG 0.35 0.15 0.20 0.30 AAT 0.30 0.15 0.20 0.25 ACA 0.25 0.20 0.15 0.35 . . .TTG 0.25 0.30 0.15 0.30TTT 0.30 0.25 0.10 0.35 Candidategene 0.12 AAAGCAA… Surrogate FiltersGene finders Markov Model-based recognition Step 2: Assess candidate genes

  6. Surrogate FiltersGene finders Markov Model-based recognition Step 2: Assess candidate genes 3rd order Markov model A C G TAAA 0.33 0.25 0.12 0.30AAC 0.30 0.20 0.15 0.35AAG 0.35 0.15 0.20 0.30 AAT 0.30 0.15 0.20 0.25 ACA 0.25 0.20 0.15 0.35 . . .TTG 0.25 0.30 0.15 0.30TTT 0.30 0.25 0.10 0.35 Candidategene x 0.15 0.12 AAAGCAA…

  7. Surrogate FiltersGene finders Markov Model-based recognition Step 2: Assess candidate genes 3rd order Markov model A C G TAAA 0.33 0.25 0.12 0.30AAC 0.30 0.20 0.15 0.35AAG 0.35 0.15 0.20 0.30 AAT 0.30 0.15 0.20 0.25 ACA 0.25 0.20 0.15 0.35 . . .TTG 0.25 0.30 0.15 0.30TTT 0.30 0.25 0.10 0.35 Candidategene x 0.15 . . . 0.12 AAAGCTA… So far, not a good candidate!

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