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BioinformaticsGenomics& Medicinehtt
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Computational Goals of Bioinformati
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Central Paradigm of MedicineDNA RNA
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Soybean Leghemoglobin andSperm Whal
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Challenges Understanding Genetic In
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Dayhoff’s PAM 250Amino Acid Repla
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Discovering Function from Protein S
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A Typical Motif:Zinc Finger DNA Bin
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Discovering Function from Protein S
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Position-Specifc Scoring Matrix for
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Blocks or Finger Prints fromMultipl
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Hidden Markov Models fromMultiple S
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Data Mining:The Seach for Buried Tr
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PROSITE Patternshttp://expasy.org/p
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Expasy Bioinformatics Resource Port
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UniProt Knowledge Basehttp://www.un
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UniProt Human Opsin Advanced Search
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UniProt Human Opsin OPN1MW Entryhtt
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Blast UniProt Human OPN1MW Resultsh
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NCBI BLAST Home Pagehttp://blast.nc
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Discovering Function from Protein S
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Entrez Gene search for Colorblindne
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Entrez Gene search for Opsins
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BLAST Similarity Searchhttp://www.n
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Paste Sequence, Choose SwissProt Da
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BLAST Conserved Domain Output
- Page 55 and 56: Most Signifcant Similarity Hits
- Page 57 and 58: Bovine Blue Opsin Similarity
- Page 59 and 60: Evaluation of ProflesNegative Prote
- Page 61 and 62: MyHits Local Motifs Searchhttp://my
- Page 63 and 64: MyHits Local Motifs Searchhttp://my
- Page 65 and 66: MyHits Local Motif Hitshttp://myhit
- Page 67 and 68: MyHits Local Motifs Hist (Cont.)
- Page 69 and 70: InterProhttp://www.ebi.ac.uk/interp
- Page 71 and 72: InterPro Scanhttp://www.ebi.ac.uk/T
- Page 73 and 74: InterPro Scan Resultshttp://www.ebi
- Page 75 and 76: GO: Gene Ontology Databasehttp://ww
- Page 77 and 78: GO: Gene Ontology for Opsin OPN1MWh
- Page 79 and 80: GO: Annotations for OPN1MWhttp://ww
- Page 81 and 82: GO: Gene Ontology Terms for OPN1MWh
- Page 83 and 84: GO: Gene Ontology GCPR Termhttp://w
- Page 85 and 86: Bioinformatics Homeworkhttp://bioch
- Page 87 and 88: Statistical vs. Biological Signifca
- Page 89 and 90: Hidden Markov Models fromMultiple S
- Page 91 and 92: Structure of 5’ CAP© Michael W.
- Page 93 and 94: Intron Splicing Mechanism© Michael
- Page 95 and 96: GENSCAN Gene Modelhttp://genes.mit.
- Page 97 and 98: ESTs, Full Length cDNAUniGene & Ref
- Page 99 and 100: HiddenMarkov modelsof genestructure
- Page 101 and 102: Genomics, Bioinformatics &Computati
- Page 103 and 104: Genomics, Bioinformatics &Computati
- Page 105: Hidden Markov Models (after Haussle
- Page 109 and 110: pFAM at Sanger Center (UK)http://pf
- Page 111: pFAM at Sanger Center (UK)http://pf