Course Overview
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Course Synopsis
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This course aims to introduce the concepts of data representation, searching, security and ownership. Develop techniques for pattern matching, recognition and their applications in bioinformatics.
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Course Learning Outcomes
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At the end of the course, you will have good understanding of following modules
- Databases and Data management
- Networks, communications models, transmissions technology, protocols, and , geographical scope
- Search engines. search process, search engine technology, searching and information theory
- Computational methods, knowledge management, sequence and structure visualization
- Data mining methods and technology
- Pattern recognition, discovery, and pattern matching
- Dot matrix analysis and substitution matrices
- Dynamic programming and Scripting
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Course Calendar
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Week 02
Week 03
6
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Data communication (Part I)
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Week 04
7
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Data communication (Part II)
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8
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Communication tasks and protocols
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Week 05
10
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Topology and Transmission modes
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Week 06
11
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Geographical Scope and Communication Models
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12
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Communication Models and transmission Technology
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Week 07
13
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Communication Models and transmission Technology-II
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14
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Communication Models and transmission Technology-III
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Week 08
15
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Bandwidth/Frequency Spectrum
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Week 09
17
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Information retrieval and Search engines
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18
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informationretrievalintro
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Week 10
25
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searchenginecategories
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29
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knowledgediscoverytechniques
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Week 11
39
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Problems with data integration
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Week 12
51
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Needleman_wunch Execution
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Week 13
58
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Introduction to BioJava
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59
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Alphabets, Symbols and Sequences
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62
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FeaturesandAnnotations
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63
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Protein structure modules
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Week 14
68
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Features and functions
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Week 15
75
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Intoduction To BioPython
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84
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Multiple Sequence Alignment
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Week 16
85
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More on Multiple Sequence Alignment
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86
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Progressive Alignment for MSA
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89
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Structure Visualization - I
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90
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Structure Visualization - II
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91
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Experimental Determination of Protein Structure
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93
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Visualization Techniques
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94
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Online Resources for Protein Visualization
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95
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Types of Protein Visualizations
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