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Plos One|October 3, 2013
Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimatesKerry A Geiler-Samerotte, Tatsunori Hashimoto, Michael F Dion, et al.
Journal of Biomolecular Screening|April 29, 2015
A Multivariate Computational Method to Analyze High-Content RNAi Screening DataJonathan Rameseder, Konstantin Krismer, Yogesh Dayma, et al.
Molecular Biology of the Cell|March 5, 2016
Steady-state and dynamic gene expression programs in Saccharomyces cerevisiae in response to variation in environmental nitrogenEdoardo M Airoldi, Darach Miller, Rodoniki Athanasiadou, et al.
Molecular Biology of the Cell|October 26, 2007
Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeastMatthew J Brauer, Curtis Huttenhower, Edoardo M Airoldi, et al.
Plos Computational Biology|January 3, 2009
Predicting cellular growth from gene expression signaturesEdoardo M Airoldi, Curtis Huttenhower, David Gresham, et al.
Bioinformatics (Oxford, England)|January 25, 2015
Quantitative visualization of alternative exon expression from RNA-seq dataYarden Katz, Eric T Wang, Jacob Silterra, et al.
Nature|November 20, 2024
Gut microbiome strain-sharing within isolated village social networksFrancesco Beghini, Jackson Pullman, Marcus Alexander, et al.
Elife|November 8, 2014
Musashi proteins are post-transcriptional regulators of the epithelial-luminal cell stateYarden Katz, Feifei Li, Nicole J Lambert, et al.
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