Here’s a sneak preview of what will be presented at the upcoming Phenome 2017 conference, to be held on Feb. 10-14 in Tucson, AZ.
Phenome 2017 will provide a unique opportunity for plant biologists, engineers, computer and information scientists, chemists, mathematicians, geologists, physicists, and meteorologists to mingle, forge collaborations, share insights, and develop strategies to tackle real-world problems.
The Metadata Analysis and Challenges concurrent sessions will take place on Sunday afternoon, February 12, at Phenome 2017.The well-known ‘Big Data problem’ comes with secondary hurdles, and that’s the subject of the ‘Metadata Analysis and Challenges’ session at Phenome 2017. The session will be divided into three key topics.
Steve Long (University of Illinois), Melissa Dsouza (University of Chicago), Fan Yang (University of Iowa) and Keith Koutsky (The Climate Corporation) will explore how plant data both from the field and computer modeling informs crop breeding efforts in the face of climate change. Keith Koutsky says he’ll “be sharing how we bring together many data layers, millions of data points, and a variety of disciplines, to quantify what’s occurring on the farm and how farmers can get to the best productivity going forward.”
In this session, delegates will hear from Baskar Ganapathysubramanian (Iowa State), a mechanical engineer developing high-throughput algorithms for image processing; Seth Murray (Texas A&M), who conducts in-field phenotyping in maize; Nathan Miller (University of Wisconsin) of Phytomorph, a project developing plant phenotypic analysis tools; and finally, CyVerse analyst Ramona Walls (University of Arizona–Tucson).
The genetics section will concentrate on efforts to bridge the genotype-to-phenotype gap, featuring talks by Carolyn Lawrence-Dill (Iowa State, Genomes to Fields initiative), Lisa Harper (USDA, MaizeGDB Project), and Noah Fahlgren (Donald Danforth Center). Along with these plant researchers, attendees will hear from George Gkoutsos (University of Birmingham, UK), a cancer genomics researcher who will provide insight from a clinical perspective into genetic data, metadata, and policy challenges.
We hope to see you there!