
The Wheeler Lab designs algorithms and statistical methods for problems motivated by biological data, focusing on computational genomics and drug discovery. Their work includes statistical modeling, optimized data structures and algorithms, low-level software optimization, AI (Deep Learning), and web services. They specialize in annotating biological sequences, searching large-scale biological sequence databases, drug discovery using AI methods, and neuroscience research involving animal tracking and behavior. The lab is located at the University of Arizona. They have developed various software tools and databases, including Simpatico, nail, NEAR, BATH, sofr, ULTRA, DIPLOMAT, Drugsniffer, DISCO, SODA, AWFM-index library, MIRAGE, HMMER, nhmmer, Ninja, Opalescent, Opal, Align, AlignAlign, and cQC. They also contribute to databases like MDRepo, TE Hub, Dfam, and the Skylign Logo server. The lab is actively involved in funded research projects across genomics, drug discovery, and neuroscience.

The Wheeler Lab designs algorithms and statistical methods for problems motivated by biological data, focusing on computational genomics and drug discovery. Their work includes statistical modeling, optimized data structures and algorithms, low-level software optimization, AI (Deep Learning), and web services. They specialize in annotating biological sequences, searching large-scale biological sequence databases, drug discovery using AI methods, and neuroscience research involving animal tracking and behavior. The lab is located at the University of Arizona. They have developed various software tools and databases, including Simpatico, nail, NEAR, BATH, sofr, ULTRA, DIPLOMAT, Drugsniffer, DISCO, SODA, AWFM-index library, MIRAGE, HMMER, nhmmer, Ninja, Opalescent, Opal, Align, AlignAlign, and cQC. They also contribute to databases like MDRepo, TE Hub, Dfam, and the Skylign Logo server. The lab is actively involved in funded research projects across genomics, drug discovery, and neuroscience.