Schnable Lab Research

One of the primary goals that motivates genetic research at the Schnable Laboratory is crop improvement. We approach this goal from several different directions, researching individual genes and processes as well as comprehensive genomics projects. We also participate in the Computationally Engineered Plant Working Group

Functional Structural Diversity among Maize Haplotypes (view abstract)
Core techniques, libraries, and domain specific languages for high-throughput DNA sequencing (view abstract)
- Press Release: NSF Announces Interagency Progress on Administration's Big Data Initiative
- Press Release: Iowa State researchers developing 'BIGDATA' toolbox to help genome researchers
- Press Release: Virginia Tech to tackle the 'Big Data' challenges of next-generation sequencing with HokieSpeed
Parallel Algorithms and Software for High-Throughput Sequence Assembly (view abstract)
Genetic architecture of sorghum biomass yield component traits identified using highthroughput, field-based phenotyping technologies (view abstract)
Genomic consequences of recent and ancient allopolyploidy: a continuum of ages in Tragopogon (Asteraceae) (view abstract