Genomic Prediction in Agriculture
In the field of plant and animal research, genomic prediction is a key focus area. In the quest of finding new and better ways to increase production yield in farming and agriculture, these technologies are essential. There is a huge demand to build predictive capabilities to optimize the performance of species used in food production. The people at Golden Helix have spent many years of research embedding these core capabilities in our SNP & Variation Suite™ software platform.
This eBook will cover:
- Building predictive systems
- Predictive algorithms
- Bayesian methods
- gBLUP
- A practical example
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About the Author
Dr. Andreas Scherer is CEO of Golden Helix. The company has been delivering industry-leading bioinformatics solutions for the advancement of life science research and translational medicine for over a decade. Its innovative technologies and analytic services empower scientists and healthcare professionals at all levels to derive meaning from the rapidly increasing volumes of genomic data produced from next-generation sequencing.
He is also Managing Partner of Salto Partners, Inc. He has extensive experience successfully managing growth as well as orchestrating complex turnaround situations.
Dr. Scherer holds a Ph.D. in computer science from the University of Hagen, Germany, and a Master of Computer Science from the University of Dortmund, Germany. He is author and co-author of over 20 international publications and has written books on project management, the Internet, and artificial intelligence.