DNA

Parallel Algorithms and Software for High-Throughput Sequence Assembly

High-throughput next-generation DNA sequencing technologies (NGS) are causing a major revolution in life sciences research by allowing rapid and cost-effective sampling of genomes and transcriptomes (expressed genomic sequences). Assembly of genomes and transcriptomes from billions of such randomly sampled sequences is an important problem in computational biology. While significant strides have been made, much work remains in addressing the diverse and rapidly emerging platforms, improving assembly quality, and scaling to both large-scale data sizes and large genomes.

Graduate student Kevin Falk and Dr. Asheesh Singh inspecting soybean rootsDNA is everywhere, including the root system of plants. Up until now few have studied the genetic basis of root structure because it’s difficult to observe how roots grow underground.

Asheesh Singh, professor of agronomy, and his doctorate student Kevin Falk are two of the few doing it with help from Baskar Ganapathysubramanian, professor of mechanical engineering, and Gwyn Beattie, professor of plant pathology.

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