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Best Practices in Biopharma Manufacturing Best Practices in Clinical Research Biotechnology & Genetics Major Therapeutic Areas Pharmaceutical and Healthcare Codes of Conduct
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Anatomy and Physiology Bioinformatics BioPharma Cardiovascular System Central Nervous System (Neurology) Diabetes Gastrointestinal System Good Clinical Practice (GCP) Good Laboratory Practice (GLP) Good Manufacturing Practice (GMP) Immunology Infection IS/IT Series Marketing & Selling Medical Devices Musculoskeletal System Oncology Ophthalmology Pain Psychiatric Disorders Quality Control (QC) Respiratory System Urology Validation
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| | Bioinformatics: Advanced Prerequisites include a working knowledge of recombinant DNA and molecular biology.
Duration: 2 Hours and 45 Minutes Certificate of Completion: Provided immediately upon successful completion. |
Ordering For Multiple Users (training 10 - 200 users, annually) see GeneEd's On Demand Training |
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Bioinformatics: Advanced
Description: The advanced bioinformatics course is designed to explain the algorithms, tools, databases, and applications of bioinformatics. In particular, complex applications applied to drug discovery are described.
Similar or Related Courses & Suites:
SUITE: Advanced Biopharmaceutical Technology: Four Course Suite (without Microarray Informatics) SNPs: Identification and Uses Bioinformatics: Advanced Methods in Molecular Biology Microarrays
SUITE: Advanced Biopharmaceutical Technology: Five Course Suite Microarray Informatics Methods in Molecular Biology Bioinformatics: Advanced SNPs: Identification and Uses Microarrays
SUITE: Bioinformatics Suite Bioinformatics Bioinformatics: Advanced
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| Bioinformatics: Advanced OUTLINE INTRODUCTION
1. Course Overview
2. Introduction
3. Definitions
4. Database Hierarchies
5. Sequence Databases
MODULE I - ALGORITHMS
6. Objectives
7. Sequence Processing
8. Sequence Similarity Searching
9. Sequence Alignment
10. Sequence Motifs
11. Sequence Motif Searching
12. Sequence Searching with HMMS
13. Multiple Sequence Alignment
14. Progress Check
MODULE II - TOOLS
15. Objectives
16. Repeatmasker
17. PHRED
18. PHRAP
19. BLAST
20. Prosite/BLOCKS/PFAM
21. CLUSTALW
22. Emotif
23. Progress Check
MODULE III - DATABASES
24. Objectives
25. GenBank
26. Entrez
27. OMIM
28. PDB
29. EcoCyc
30. Progress Check
MODULE IV - APPLICATIONS
31. Objectives
32. Hierachical Genome Assembly
33. Shotgun Genome Assembly
34. Genome Annotation Features
35. Genome Annotation Tools
36. Expression Analysis I: Informatics
37. Expression Analysis II: EST Clustering
38. Protein Modeling
39. Protein Design
40. Antibody Engineering: Fv Domains
41. Antibody Engineering: Humanization
42. Drug Design I: SARs
43. Drug Design II: Structure-Based
44. Drug Design III: Pharmacophores
45. Progress Check
CONCLUSION
46. Final Assessment | | Bioinformatics: Advanced OBJECTIVES Students completing this course, Bioinformatics: Advanced, should be able to:
Demonstrate a solid understanding of: - Current bioinformatics tools and databases
- Simple and complex applications of bioinformatics in genomics and molecular biology, including the creation of complex, pipelines for processing large volumes of data
- Bioinformatics programming systems and development tools, databases and data structures, and the strengths and weaknesses of different object and data models in bioinformatics
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BROWSE COURSES BY CATALOG:
| Best Practices in Biopharma Manufacturing | Best Practices in Clinical Research | Biotechnology & Genetics | Major Therapeutic Areas | Pharmaceutical and Healthcare Codes of Conduct |
BROWSE OTHER COURSES BY DISCIPLINE:
| Anatomy and Physiology | Bioinformatics | BioPharma | Cardiovascular System | Central Nervous System (Neurology) | Diabetes | Gastrointestinal System | Good Clinical Practice (GCP) | Good Laboratory Practice (GLP) | Good Manufacturing Practice (GMP) | Immunology | Infection | IS/IT Series | Marketing & Selling | Medical Devices | Musculoskeletal System | Oncology | Ophthalmology | Pain | Psychiatric Disorders | Quality Control (QC) | Respiratory System | Urology | Validation |
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