Celebrating and supporting MOD knowledgebases

It should come as no surprise to this group that supporting Model Organism databases and knowledgebases, including Rat Genome Database is important for continuing their ongoing funding and support! Use, share, and cite them to ensure their continued success and research progress. To cite RGD: Citing the Rat Genome Database

Regards

The RGD Team

From: GSA Journals journals@genetics-gsa.org
Sent: Friday, November 3, 2023 8:46 AM

Subject: Celebrating Our Community Resources

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Where do you turn when you need to find out how many splice variants there are for your favorite gene? Learn what markers stain your tissue of interest? Order a new experimental strain?

Experimental organism databases, knowledgebases, and stock centers!

Genetics and genomics help connect biological findings across the tree of life, and research organisms are a key piece of the puzzle. When working in flies, worms, maize, yeast, fish, frogs, and more, researchers benefit greatly from community resources like databases, knowledgebases, and stock centers.

Unfortunately, funding for these community resources isn’t a given, and your support is critical to their continued success. Community spirit is an important facet of GSA’s mission, and we encourage our members to practice excellent stewardship of community resources.

How can you show support for community resources?

Use them!

Get familiar with the databases and knowledgebases relevant to your work. Look for FAQs, read how-to guides, and join user communities to ask questions and share know-how.

Share them!

Point lab members, collaborators, and anyone new to your organism toward the relevant resources. Spread the word about the abundance of carefully curated information available at your fingertips.

Cite them!

Citing these resources appropriately any time you use them in the course of your research is hugely important in making the case for their support. Each resource has citation guidelines on their website; for example, the Gene Ontology Consortium requests citation of the original paper describing the resource and the most recent update whenever authors use GO to perform gene set enrichment analysis.

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