Founder Dan Knights publishes a paper through the Federation of European Microbiological Sciences (FEMS) introducing machine learning to the microbiome field. Advances in DNA sequencing technology now allow for the collection and distribution of multi-faceted big data. Consequently, there is an increased need for improved methods of computational analysis in order to interpret this wealth of data.
Knights collaborated with Elizabeth Costello, PhD, of the Department of Microbiology and Immunology, Stanford University, Stanford and Rob Knight, PhD, of the Department of Chemistry and Biochemistry, University of Colorado, Boulder.
Read more from FEMS: https://fems-microbiology.org/