Bioinformatics Unit Objectives

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Unit Learning Objectives

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Unit 1: Databases

  • definition of bioinformatics
  • structure/function of databases
  • algorithms, scripting
  • structure/function of the web
  • hardware and software
  • literature databases, search engines, Boolean logic
  • DNA sequence databases, BLAST
  • other database types (MMDB, GOLD, PDB, ecological)
  • database structure, querying
  • scripting
  • internet as a research environment
  • documentation requirements in bioinformatics
  • NCBI, NBIF interfaces
  • Perl tutorial

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Unit 2: Genomics

  • retrieving and organizing data
  • tools for genomic analysis
  • problem-solving methods
  • documenting observations
  • genome structure/function
  • DNA structure determination
  • whole genome sequencing
  • genome mapping & annotation
  • comparative genomics
  • analysis of raw sequencing data
  • Sequencher
  • gene finding software
  • annotation software

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Unit 3: Molecular Genetics

  • information flow in biosystems
  • nucleic acid structure/function
  • ethical issues in bioinformatics
  • molecular medicine
  • specialized software
  • how disease genes are mapped
  • linkage analysis
  • polymorphism (SNP and RFLP)
  • expression analysis by microarray
  • plasmid mapping software
  • primer design
  • analysis of microarray with CrazyQuant, X-Cluster

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Unit 4: Phylogenetics

  • molecular evolution
  • statistical/probabilistic models
  • generating hypotheses
  • design of valid tests
  • drawing valid conclusions
  • methods of reconstructing evolutionary history
  • tempo and mode in molecular evolution
  • statistical/probabilistic models
  • multiple sequence alignment
  • analyzing drift vs selection
  • tree building by parsimony and maximum likelihood

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Unit 5: Protein Structure Prediction

  • protein structure/function
  • physical/chemical properties
  • motifs and profile methods
  • structure databases
  • 3D model building
  • patterns in protein sequences
  • structural correlates of motifs and profiles
  • 3D protein structure determination
  • model-building techniques
  • SwissProt database, PDB
  • motifs and profile analysis
  • Modeller

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Unit 6: Metabolism & Networks

  • integrative thinking
  • software for large data sets
  • data visualization
  • commercial applications
  • metabolic pathways, signaling
  • metabolic pathway databases
  • cell signaling network databases
  • proteomic databases
  • protein-protein interactions
  • pharmaceutical data mining
  • WIT metabolic database
  • data-mining methods
  • self-organizing maps

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Related Links:   Unit I   |   Unit II   |   Unit III   |   Unit IV   |   Unit V   |   Unit VI  

Updated on 8/20/2001 by bchapman@classroomtools.com.