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Index slides en cursus bio-informatica
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  • Module
  • Bio-informatica
  • Institution
  • Universiteit Antwerpen (UA)

Korte overzicht, index, lijst die alle paginanummers weergeeft over een bepaald onderwerp om deze snel te vinden in een openboek examen. Specifiek over de slides en cursus van bio-informatica.

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Document information

  • November 30, 2021
  • 3
  • 2020/2021
  • Other
  • Unknown

Subjects

  • index
  • lijst
  • excel
  • tabel
  • paginanummer
  • openboek
  • examen
  • open boek
  • bio informatica
  • bioinformatica
  • opsomming

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  • Universiteit Antwerpen (UA)
  • Biomedische Wetenschappen
  • Bio-informatica
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Hoofdstuk Onderwerpen Slides Boek pagina's
H1: Intro 7- 28
H2: Background in  Database organisation  6  29-30
computer sciences  Relational databases  7-8  31
 Algorithms  9-14  32-37
 Classification problems  33  38
 Confusion matrix  35-39  39-42
 ROC  40-41  42
 Graph theory  43- 58  42-51
 Different types of graphs  44--51  42-45
 Adjacency matrix  46  46
 Adjacency list  47  46
 Brute force algorithm  63  51-52
 Big-O-notation  65-68  53
 Complexity classes  69-72  53-54
 Exhaustive vs. heuristic  73  54-55
 Search, decision and optimization  74-91  55-59
problems/algorithms
 Iterative improvement  82-87  58-59
H3: Pairwise  Match/mismatch/hamming distance  7  64-67
alignment  Substitution matrix and alignment score  17-22  67-72
o Gap penalties  23-25  72-73
 Global vs. local pairwise alignment  32  75
 Definitions: similarity/identity/conservation  35-39  77
 /Homologs/orthologs/paralogs/xenologs/
analogs
 Dot matrix of dotplot  44-50  78-81
o EMBOSS dotplot  50-54  81
 Global alignment  55-80  81-93
o Needleman-Wunsch  59-80  84-93
 Local alignment  82-91  93-96
o Smith-Waterman
 Advanced penalties  92-93  97
 Substitution matrices  97-114  98-101
o PAM  115-141  102-106
o Blosum  142-150  106-108
o PAM vs. Blosum  151-154  108
H4: Multiple  Use MSA  6-15  111
alignment (MSA)  MSA as a graph  20-24
 Dynamic methods (exhaustive)  25-37  115-120
o Lipman MSA algorithm  29-30  117-118
o Scoring multiple alignment  31-37  118-120
 Progressive methods (heuristic)  39-49  121-125
o Feng-Doolittle algorithm  41-45  121-122
o Clustal W  46-49  122-125
 Iterative methods  51-58  125-130
o MAFFT  57  126-127
o MUSLE  53-56  127-128
o SAGA  58  128-130
 Consistency-based methods  60-67  130-132
o ProbCons  61  130-131

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