Christina Steadman on Muck Rack

Christina Steadman

Denver
As seen in: Colorado Community Media, Nature, The Sentinel Colorado, Canon City Daily Record, KRMA-TV (Denver, CO), Castle Pines News-Press, Northglenn-Thornton Sentinel, Arvada Press, Castle Rock News-Press, Highlands Ranch Herald, Parker Chronicle and
Reporter at the Golden Transcript
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Christina

Contact Christina, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Best practices for methylome characterization in novel species: a case study in the microalgae Microchloropsis - Communications Biology

|
By Christina Steadman, Eric Small
| Nature Verified
Abstract Microalgae remain an important feedstock in the circular bioeconomy. The discovery of new species combined with advanced biotechnology drives optimization of performance predicated on deep knowledge of algal genomics and phenotype. Understanding the contribution of epigenetic processes to algal function provides insight and better approaches for achieving production goals.
Open in Who Shared Issue with article?

PERCEPTIVE: an R Shiny pipeline for the prediction of epigenetic modulators in novel species

|
By Eric Small, Christina Steadman
| biorxiv.org
Abstract Epigenetic processes play key roles in regulating gene expression, genome stability, and metabolic output in organisms across the tree of life. Yet, the role epigenetics plays in regulating genomes and behaviors remains underdeveloped for microalgae, particularly as new species are identified and characterized.
Open in Who Shared Issue with article?

Statistical relationships across epigenomes using large-scale hierarchical clustering

|
By Anastasiia Kim, Nicholas Lubbers, Christina Steadman, Karissa Y. Sanbonmatsu
| biorxiv.org
Abstract Environmental toxins and pathogens can influence epigenetic modifications on chromosomes, thereby leaving trace evidence of exposures. However, the avalanche of epigenomic data is difficult to parse for biological interpretation given non-linear complex patterns and relationships. This attractive challenge in epigenomic data lends itself to machine learning for discerning infectivity and susceptibility.
Open in Who Shared Issue with article?
See all 1,917 licensed articles (1,935 Total)
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified