Determining your location... | View access restrictions

About Access Restrictions to Electronic Resources

Access and use of electronic resources made available by the Becker Medical Library are governed by license agreements between the School of Medicine and publishers or third parties. Several of the electronic resources carry some restriction on their use. Access may be restricted by user location, number of concurrent users, and/or password.

In short, most people experience access limitations based on the network to which their computer is connected. Below is a quick breakdown of what can be accessed from various networks.

BJH (Limited to) SLCH (Limited to) Proxy (Remote Access) WUSM Off Campus
AccessMedicine
STAT!Ref
UpToDate Online
AccessMedicine
American Academy of Pediatrics Journals
Applied Clinical Informatics
Harriet Lane Handbook
Red Book Online
ScienceDirect
STAT!Ref
UpToDate Online
Unrestricted Access to All Becker Resources Unrestricted Access to All Becker Resources No Access without Proxy

Partek Flow Workshop

  This session is currently full. To be added to a waiting list, please contact Maze Ndonwi
 Registration is closed for this event
Event Details
When:
March 10th, 2016 9:30 AM - 3:30 PM
Where:
Farrell Learning and Teaching Center
Room 602
United States
This workshop will include hands-on training for analyses of both RNA-Seq and DNA-Seq data.

Morning session (Hands On: Analysis on RNA-Seq Data):
This session will start with a hands-on training to learn how to analyze RNA-Seq data. Topics will include how to use statistical tests to identify differentially expressed transcripts and alternative spliced genes among sample groups, how to generate a list of genes of interest and identify high level biological trends using Gene Ontology.

Afternoon Session (Demo: Integration of RNA-Seq with Microarray Gene Expression Data; DNA-Seq Data Analysis Pipeline; Q&A):
This session will start with the integration of RNA-Seq and Gene Expression Microarray data in Partek Flow, followed by a live demo on the DNA-Seq Data Analysis pipeline and end with a Q&A session.