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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 Duration: 1 Hour
Certificate of Completion:
Provided immediately upon successful completion. |
Ordering For Multiple Users (training 10 - 200 users, annually) see GeneEd's On Demand Training |
|
 Bioinformatics
Description: This course in Bioinformatics consists of three modules, titled Overview, Tools & Databases, and Applications, each of about 15 minutes in duration. It provides industry professionals, researchers, managers, investors and others with a comprehensive review of modern Bioinformatics. It is also geared towards computer scientists, engineers and others wishing to gain an overview of Bioinformatics.
Similar or Related Courses & Suites:
SUITE: Biopharmaceutical Technology: Complete Six Course Suite
 Combinatorial Chemistry
Immunity and Disease
Bioinformatics
Genomics
Computer-Assisted Drug Design
Human Gene Therapy
SUITE: Bioinformatics Suite
Bioinformatics
Bioinformatics: Advanced
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and a Certificate of Completion is accessible once requirements are filled.
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GeneEd Online Training Courses are designed for nurses (RNs), doctors (MD and PhDs), clinical research associates (CRAs or monitors), clinical research coordinators (CRCs), investigators, researchers, other healthcare professionals and for patient education.
| Bioinformatics
OUTLINE
INTRODUCTION
1. Course Description
2. Definitions
3. Database Hierarchies
4. Sequence Databases
TOOLS & DATABASES
5. Objectives
6. BLAST
7. Prosite/BLOCKS/PFAM
8. CLUSTALW
9. GenBank
10. Entrez
11. PDB
12. Progress Check
APPLICATIONS
13. Objectives
14. Hierarchical Genome Assembly
15. Genome Annotation Features
16. Expression Cluster Analysis
17. Protein Modeling
18. Protein Design
19. Antibody Engineering
20. Progress Check
CONCLUSION
21. Final Assessment
| | Bioinformatics
OBJECTIVES
Students completing this course, Bioinformatics, should be able to:
Commonly used bioinformatics algorithms and databases
Publicly available bioinformatics tools
Simple applications of bioinformatics in genomics, including genome annotation, expression cluster analysis, protein modeling, and antibody engineering. |
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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