


Effective Use of NCBI Tools and Databases
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The Harvard Catalyst, in collaboration with the Countway Library, the Center for Cancer Computational Biology and the Harvard School of Public Health Bioinformatics Core presents: Effective use of the NCBI tools and databases.
The National Center for Biotechnology Information (NCBI) presents A
Field Guide to GenBank and NCBI Molecular Biology Resources, a lecture
and hands-on computer workshop on GenBank and related databases
covering effective use of the Entrez molecular biology databases and
search service, the BLAST similarity search engine, genome data and
related resources.
Topics:
- GenBank Database: description and scope
- The NCBI Derivative Sequence Databases: RefSeqs
- Database Searching using Entrez
- The Discovery system
- Neighboring and Links
- Entrez searching
- The NCBI Structures Database
- The Molecular Modeling Database (MMDB)
- Structural Alignments
- Viewing Structures and Structural Alignments with Cn3D
- Genomic Resources at NCBI
- Complete Microbial Genomes in Entrez
- Higher Genome Resources
- RefSeq and Gene
- HomoloGene
- UniGene
- Variation Data (SNPs)
- The Human, Mouse and Rat genomes
- The Map Viewer
- Other Genomes
- Similarity Searching using NCBI BLAST
- Local Alignment Statistics
- Scoring Systems
- Using BLAST web services
- PSI-BLAST
- Specialized BLAST pages
- Genome-specific BLAST services
Only 1 lecture plus 1 lab session is needed.
Dates:
Day 1 - December 16, 2009
- 9-Noon lecture (Capacity = 50) and pick one of the following lab sessions
- Lab A: 1-3 pm hands-on lab (Capacity = 25)
- Lab B: 3-5 pm hands-on lab (Capacity = 25)
or
Day 2 - December 17, 2009
- 9-Noon lecture (Capacity = 50) and pick one of the following lab sessions
- Lab A: 1-3 pm hands-on lab (Capacity = 25)
- Lab B: 3-5 pm hands-on lab (Capacity = 25)
Location:
Lecture sessions will be held at the Tosteson Medical Education Center Room 109; 260 Longwood Ave, Boston http://www.hsph.harvard.edu/about/location-and-directions/
Lab sessions will be held at the Countway Library of Medicine Room 403; 10 Shattuck Street, Boston, MA https://www.countway.harvard.edu/menuNavigation/aboutCountway/directions.html
Registration requirements and details:
- Lecture attendance is a prerequisite to the lab session
- $50 (total) registration fee to cover host administrative costs. The NCBI does not charge a fee for this training.
Deadline for registration:
December 15, 2009
Contact Persons:
- HSPH: Leah Segal, lsegal {at} hsph.harvard.edu
- Countway: David Osterbur, david_osterbur {at} hms.harvard.edu
- Dana: Joan Coraccio, joana_coraccio {at} dfci.harvard.edu
2009/2010 Center for Cancer Computational Biology Seminar Series
Seminars presented the third Thursday of every month, 3:30 pm, Smith 964
Thursday, September 17, 2009
Jill Mesirov
Associate Director, Chief Informatics Officer, Director, Computational Biology and Bioinformatics
Broad Institute of MIT and Harvard
Knowledge-based Methods for Disease Studies
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Michelle Girvan
Assistant Professor in Physics
University of Maryland
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David C. Schwartz
Professor of Chemistry, Professor of Genetics, Member, UW-Biotechnology Center
Director, Genomic Sciences Training Program, Vilas Associate, University of Wisconsin
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Thursday, December 17, 2009
Greg Gibson
Professor
Georgia Institute of Technology
Geographical Genomics, Canalization, and the Origins of Human Disease
Thursday, January 21, 2010
Rafael Irizarry
Professor of Biostatistics, Bloomberg School of Public Health
The Johns Hopkins University
Title TBA (I have some cool stuff I can only talk about once it's published!)
Thursday, February 18, 2010
Steven Salzberg
Director, Center for Bioinformatics and Computational Biology
Phillip H. and Catherine C. Horvitz Professor, Department of Computer Science, University of Maryland
Mapping Sequences from Next-Generation Sequencing Machines: Challenges and Solutions
Thursday, March 18, 2010
Sandrine Dudoit
Associate Professor of Biostatistics and Statistics
Chair and Head Graduate Advisor, Graduate Group in Biostatistics, University of California, Berkeley
Analytical Challenges in Interpreting mRNA-Seq Data
Thursday, April 15, 2010
Olga Troyanskaya
Associate Professor Lewis-Sigler Institute for Integrative Genomics and Department of Computer Science
Princeton University
Using Functional Genomics Data to Discover Novel Biology and Understand Disease
Thursday, May 20, 2010
Tim Hughes
Professor, Banting and Best Department of Medical Research and Department of Molecular Genetics
University of Toronto

