Categories

• papers 16
• paper 16
• misc 2
• home 1
• team 20
• news 2
• projects 3
• project 3

papers

• A genotype-phenotype-fitness map reveals local modularity and global pleiotropy
• Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping
• The complete genome sequence of the Staphylococcus bacteriophage Metroid
• Emerging frontiers in molecular evolution
• Why and how to study genetic changes with context-dependent effects
• Decanalizing thinking on genetic canalization
• Questioning buffering
• Selection transforms the landscape of genetic variation interacting with Hsp90
• Development of a comprehensive genotype-to-fitness map of adaptation-driving mutations in yeast
• Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates
• The details in the distributions: How and why to study variability
• Evaluation of common genetic variants in 82 candidate genes as risk factors for neural tube defects
• The ecoresponsive genome of Daphnia pulex
• Misfolded proteins impose a dosage-dependent fitness cost and trigger a cytosolic unfolded protein response in yeast
• A Δ11 desaturase gene genealogy reveals two divergent allelic classes within the European corn borer
• Construction of a high-resolution linkage disequilibrium map to evaluate neural tube defect risk in an Irish population

paper

• A genotype-phenotype-fitness map reveals local modularity and global pleiotropy
• Extent and context dependence of pleiotropy revealed by high-throughput single-cell phenotyping
• The complete genome sequence of the Staphylococcus bacteriophage Metroid
• Emerging frontiers in molecular evolution
• Why and how to study genetic changes with context-dependent effects
• Decanalizing thinking on genetic canalization
• Questioning buffering
• Selection transforms the landscape of genetic variation interacting with Hsp90
• Development of a comprehensive genotype-to-fitness map of adaptation-driving mutations in yeast
• Quantifying condition-dependent intracellular protein levels enables high-precision fitness estimates
• The details in the distributions: How and why to study variability
• Evaluation of common genetic variants in 82 candidate genes as risk factors for neural tube defects
• The ecoresponsive genome of Daphnia pulex
• Misfolded proteins impose a dosage-dependent fitness cost and trigger a cytosolic unfolded protein response in yeast
• A Δ11 desaturase gene genealogy reveals two divergent allelic classes within the European corn borer
• Construction of a high-resolution linkage disequilibrium map to evaluate neural tube defect risk in an Irish population

misc

• Predicting the effects of mutation
• About

home

• Predicting the effects of mutation

team

• Katrina Liou
• Anuva Banwasi
• Grace Lam
• Alycia Cary
• Esther Cao
• Naomi Jecker-Eshel
• Iris Wang
• Margot Bellon
• Chelsea Ramjeawan
• Avery Fry
• Amy Diyya
• Garett Maag
• Daphne Newell
• Rachel Eder
• Sam Apodaca
• Gaurav Bilolikar
• Kara Schmidlin
• Leandra Brettner
• Yuichi Eguchi
• Kerry Geiler-Samerotte

news

• Our first evolution experiment has begun!
• Our first paper is out!

projects

• Predicting the broader impacts of drug resistant mutations
• Quantifying the cost of mutations that cause protein misfolding
• Learning how networks create predictable patterns of epistasis

project

• Predicting the broader impacts of drug resistant mutations
• Quantifying the cost of mutations that cause protein misfolding
• Learning how networks create predictable patterns of epistasis