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Published byAnnabella Harmon Modified over 6 years ago
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CISC 667 Intro to Bioinformatics (Spring 2007) Review session for Mid-Term
CISC667, S07, Lec14, Liao
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About the mid-term closed-book Three parts
Basic molecular biology [20 points] Sequence alignments [45 points] Hidden Markov models [35 points] CISC667, S07, Lec14, Liao
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Basics of Molecular biology
Central dogma Transcription Translation Genetic code DNA Double helix Watson-crick binding Genes Compositional Structure Reading frames Proteins Genome sequencing (Sanger method) CISC667, S07, Lec14, Liao
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Sequence alignments Motivations Concepts and assumptions
Substitution scores Position independence … Dynamic programming Problems can be dissect to sub-problems Recurrence equations DP Table Traceback Global v.s. local alignments Pairwise v.s. multiple alignments Progressive approaches Score statistics: E-value, p-value. CISC667, S07, Lec14, Liao
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Hidden Markov models Motivations Concepts and assumptions Three tasks
Decoding (Viterbi algorithm) Recurrence Dynamic programming Model likelihood (Forward algorithm, Backword algorithm) Model building Labeled data Unlabeled data (Viterbi training) CISC667, S07, Lec14, Liao
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