Probability of an Algorithm to Identify Rheumatoid Arthritis in Electronic Health Records

submitted by: Jamia
Abstract Objectives: Electronic health record (EHR) can allow for the generation of large cohort of individuals with given diseases for clinical and genomic research. A rate-limiting step is the development of electronic phenotype selection algorithms to find such cohorts. This study evaluated the portability of a published phenotype algorithm to identify rheumatoid arthritis (RA) patients from HER records at three institutions with different EHR systems. Material and Methods: Physicians...

Tip of the Week: Galaxy Tool Shed

submitted by: OpenHelix

Today's tip of the week is on the Galaxy Toolshed, to find more read the blog post and tip at:

Tip of the Week: ChromoHub

submitted by: OpenHelix

Today's tip of the week is on Chromohub, an annotated phylogeny of chromatin mediated signaling genes. For more information, check out our blog post at

Video Tip of the Week: The PSI SBKB's New Content Hubs

submitted by: OpenHelix
For more information about this resource, see our blog post at URL: In the tip I will feature the newly organized content hubs over at the Protein Structure Initiative's Structural Biology Knowledgebase, or PSI SBKB. These scientific hubs, organized by content, make it easy for users to access specific content offered by both the SBKB and the PSI as a whole.

Tip of the Week: GenomeSpace

submitted by: OpenHelix

A quick introduction to GenomeSpace. More about GenomeSpace and links can be found at

Tip of the Week: TFBS using Mapper

submitted by: OpenHelix

An intro to Mapper, a database of transcription factor binding sites. For more information, check the blog at

Tip of the Week: eGIFT, extracting gene information from text

submitted by: OpenHelix

This week's tip is on eGIFT, a tool that allows you to extract information from text. For more information, check out the post at

Tip of the Week: SNPxGE2, SNP-coexpression associations

submitted by: OpenHelix

This tip of the week introduces SNPxGE2, a SNP-coexpression association database. See more here: