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BCB 539: Statistical Methods for Computational Biology.
0.00 - 2.00 Credits
Iowa State University
(2-0) Cr. 2. Alt. S., offered 2008. Prereq : BCB 568. Gu. Advanced discussion about statistical modeling of DNA and amino acid sequences, microarray expression profi les and other genome-wide data interpretation.
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BCB 539 - Statistical Methods for Computational Biology.
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BCB 542: Introduction to Molecular Biology Techniques
1.00 Credits
Iowa State University
(Cross-listed with GDCB, BBMB, B M S, FS HN, Hort, NutrS, VDPAM, EEOB). Cr. 1. Repeatable. F.S.SS. Prereq: Graduate classifi cation. Workshops in basic molecular biology techniques and related procedures. Satisfactory-fail only. A. DNA Techniques. Includes genetic engineering procedures, sequencing, PCR, and genotyping. (F.S.SS.) B. Protein Techniques. Includes fermentation, protein isolation, protein purifi cation, SDS-PAGE, Western blotting, NMR, confocal microscopy and laser microdissection, immunophenotyping, and monoclonol antibody production. (S.SS.) C. Cell Techniques. Includes immunophenotyping, ELISA, fl ow cytometry, microscopic techniques, and image analysis. (F.S.) D. Plant Transformation. Includes Agrobacterium and particle gun-mediated transformation of tobacco, Arabidopsis, and maize, and analysis of transformants. (S.) E. Proteomics. Includes two-dimensional electrophoresis, laser scanning, mass spectrometry, and database searching. (F. )
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BCB 542 - Introduction to Molecular Biology Techniques
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BCB 544: Introduction to Bioinformatics.
0.00 - 4.00 Credits
Iowa State University
(Cross-listed with Com S, Cpr E, GDCB). (4-0) Cr. 4. F. Prereq : Math 165 or Stat 401 or equivalent. Broad overview of bioinformatics with a signifi cant problem-solving component, including hands-on practice using computational tools to solve a variety of biological problems. Topics include: database searching, sequence alignment, gene prediction, RNA and protein structure prediction, construction of phylogenetic trees, comparative and functional genomics.
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BCB 544 - Introduction to Bioinformatics.
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BCB 549: Advanced Algorithms in Computational Biology.
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. S. Prereq: Com S 311 and either 208 or 228. Design and analysis of algorithms for applications in computational biology, pairwise and multiple sequence alignments, approximation algorithms, string algorithms including in-depth coverage of suffi x trees, semi-numerical string algorithms, algorithms for selected problems in fragment assembly, phylogenetic trees and protein folding. No background in biology is assumed. Also useful as an advanced algorithms course in string processing.
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BCB 549 - Advanced Algorithms in Computational Biology.
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BCB 550: Evolutionary Problems for Computational Biologists.
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. Alt. F., offered 2007. Prereq : Com S 311 and some knowledge of programming. Discussion and analysis of basic evolutionary principles and the necessary knowledge in computational biology to solve real world problems. Topics include character and distance based methods, phylogenetic tree distances, and consensus methods, and approaches to extract the necessary information from sequence-databases to build phylogenetic trees.
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BCB 550 - Evolutionary Problems for Computational Biologists.
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BCB 551: Computational Techniques for Genome Assembly and Analysis.
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. Alt. F., offered 2007. Prereq : Com S 311 and some knowledge of programming. Huang. Introduction to practical sequence assembly and comparison techniques. Topics include global alignment, local alignment, overlapping alignment, banded alignment, linear-space alignment, word hashing, DNA-protein alignment, DNA-cDNA alignment, comparison of two sets of sequences, construction of contigs, and generation of consensus sequences. Focus on development of sequence assembly and comparison programs.
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BCB 551 - Computational Techniques for Genome Assembly and Analysis.
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BCB 565: Professional Practice in the Life Sciences
0.50 Credits
Iowa State University
(Cross-listed with Pl P, Agron, An S, Hort, Micro, V MPM). Cr. 0.5. S. Prereq: Graduate classifi cation. Professional discourse on the ethical and legal issues facing life science researchers. Offered in modular format; each module is four weeks. A. Professional Practices in Research. Good scientifi c practices and professional ethics in the life sciences. B. Intellectual Property and Industry Interactions. Ethical and legal issues facing life scientists involved in research interactions with industry.
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BCB 565 - Professional Practice in the Life Sciences
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BCB 567: Bioinformatics I .
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. F. Prereq : Com S 208; Com S 330; Stat 341; credit or enrollment in Biol 315, Stat 401, and Stat 432. Biology as an information science. Review of algorithms and information processing. Generative models for sequences. String algorithms. Pairwise sequence alignment. Multiple sequence alignment. Searching sequence databases. Genome sequence assembly.
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BCB 567 - Bioinformatics I .
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BCB 568: Bioinformatics II .
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. S. Prereq: BCB 567, BBMB 301, Biol 315, Stat 401, Stat 432, credit or enrollment in Gen 411. Advanced sequence models. Basic methods in molecular phylogeny. Hidden Markov models. Genome annotation. DNA and protein motifs. Introduction to gene expression analysis.
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BCB 568 - Bioinformatics II .
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BCB 569: Bioinformatics III .
0.00 - 3.00 Credits
Iowa State University
(3-0) Cr. 3. F. Prereq : BCB 567, Gen 411, Stat 401, Stat 432. Algorithmic and statistical approaches in structural genomics including protein, DNA and RNA structure. Structure determination, refi nement, representation, comparison, visualization, and modeling. Analysis and prediction of protein secondary and tertiary structure, disorder, protein cores and surfaces, protein-protein and protein-nucleic acid interactions, protein localization and function.
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BCB 569 - Bioinformatics III .
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