National Network of Libraries of Medicine
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Bioinformatics and Biology Essentials For Librarians: Databases, Tools, and Clinical Applications

Class Details

This class is an introductory, asynchronous online bioinformatics course for librarians using the Moodle learning management system. It is a 16-week, self-paced course worth 25 hours of CE credit from the Medical Library Association. This course was designed both for librarians who offer, or intend to offer, bioinformatics services; and also for librarians who use bioinformatics information on a periodic or irregular basis to serve their patrons.

Subject Matter Experts/Additional Instructors for this course include: Dr. Peter Cooper, PhD and Dr. Bonnie Maidak, PhD, MLS, National Center for Biotechnology Information, National Library of Medicine.

Week 1 (Aug 20-24): Genetics Basics
Week 2 (Aug 27-31): Genetics Basics
Week 3 (Sep 4-7): Introduction - Bioinformatics and Librarianship
Week 4 (Sep 10-14): Molecular Biology Techniques
Week 5 (Sep 17-21): NCBI Nucleotide
Week 6 (Sep 24-28): BLAST Sequence Similarity
Week 7 (Oct 1-5): NCBI Gene
Week 8 (Oct 8-12): Basics of Proteins
Week 9 (Oct 15-19): NCBI Protein and Structure Databases
Week 10 (Oct 22-26): Clinical Applications
Week 11 (Oct 29-Nov 2): Catch Up Week
Week 12 (Nov 5-9): Ethics and Policy in Bioinformatics
Week 13 (Nov 12-16): What's Next in Genomic Research
Week 14 (Nov 19-23): Synthesis

Note: Registration closes August 15, 2018. This course is limited to 50 participants. A 20-seat waitlist is also available. Registration preference given to residents of the United States.

Class Date:
Region/Office: National
Aug 20, 2018 to Dec 7, 2018
Instructor(s):
Molly Knapp, MA, AHIP, Training Development Specialist
Contact:
Continuing Education Credits: 
25
This class is now closed to registrants.

Class Instructors

Molly Knapp, MA, AHIP, Training Development Specialist

Class Overview

This series of webinars and an asynchronous course will introduce you to different topics and NCBI tools you can use in your library to support bioinformatics education and discovery.