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Join us on Thursday January 21st at 9AM PST to learn how, Dr. Ben Callahan, the creator of DADA2 and Loop Genomics have joined forces to publish a new combination of ultra accurate long read microbiome sequencing and open-source state-of-the-art computational analysis software DADA2). Learn about the algorithms behind DADA2, ASV clustering, ultra-accurate long reads and other benefits this new combination offers for your microbiome research. 

 

 

 

 

 

 

Dr. Benjamin Callahan

Dr. Benjamin Callahan is an Assistant Professor in the Department of Population Health and Pathobiology and a member of the Bioinformatics Research Center, Dr. Callahan’s research focuses on “microbiomes” — the complex microbial communities which inhabit and interact with almost every part of the world around us. He develops new statistical and bioinformatic methods to better characterize microbial communities from high-throughput biological data, and uses those methods to study important problems, such as the relationship between the maternal microbiome and preterm birth. He is known, among others, as the creator of dada2, a widely used bioinformatic pipeline for the analysis of microbiome amplicon sequence data. In the past several years Dr. Callahan’s work has also pioneered the use of long-read sequencing technologies in microbiome research.

Dr. Callahan received a B.S. in Physics and Math from Iowa State University, and began to work on problems in quantitative biology while obtaining a Ph.D. in Physics from the University of California, Santa Barbara. After graduation, Dr. Callahan worked as a postdoc in the Applied Physics and Statistics departments at Stanford University, where he studied adaptation in large populations through modeling, comparative genomics and experimental evolution                              

 

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