Single cell sequencing is the only method that can provide in depth functional and phylogenetic information.

Our patented technology uses microfluidics to capture and sequence individual bacterial genomes within isolated capsules. All biochemical reactions, including cell lysis and DNA amplification, take place within the capsule, eliminating conventional hurdles like isolation, culturing, and complex data processing. Our whole-genome reconstructions enable us to compare down to the sub-strain level, revealing not only genetic and functional information of individual bacteria, but also genetic differences between target and related strains.

Faster, cheaper, and vastly more accurate than typical microbe sequencing methods, bit-MAP powers massively parallel whole-genome sequencing and reduces the potential time for sequencing our planet’s microbe population from over 10,000 years to within a single generation.

Our bit-GEM database is the leading resource for searchable and highly usable microbe genome sequences.

Drawing on nature’s most potent microbial resources, including samples from environments like soil, marine water, hot springs, mining sites, and other extreme conditions, our database contains over a billion gene sequences that cannot be obtained by any other method—and perhaps most importantly, are not available in any public database.

Backed by a team of specialist bioinformaticians, chemoinformaticians, wet lab experts, and fermentation specialists, our unique bioinformatics platform finds, assays, and modifies enzymes from bitBiome’s vast library to meet your precise needs.

Our enzyme mining process uses both sequence-based target screening and 3D structure-based target enzyme screening to identify a short list of candidates in a matter of weeks. Directed evolution then uses chemoinformatic modeling combined with machine learning and large language models to identify the most relevant amino acid locations that influence enzyme activity, make necessary changes to optimize activity, and assay to ensure the changes had their intended effects. Our streamlined gene engineering process combines cycles of generating diverse mutants in silico followed by robotics-driven wet lab enzyme assays, getting smarter and more precise with each round.