Quantum-Si incorporated
MACHINE LEARNING ENABLED BIOLOGICAL POLYMER ASSEMBLY

Abstract:

Described herein are machine learning techniques for generating biological polymer assemblies of macromolecules. For example, the system may use machine learning techniques to generate a genome assembly of an organism's DNA, a gene sequence of a portion of an organism's DNA, or an amino acid sequence of a protein. The system may access biological polymer sequences generated by a sequencing device and an assembly generated from the sequences. The system may generate input to a machine learning model using the sequences and the assembly. The system may provide the input to the machine learning model to obtain a corresponding output. The system may use the corresponding output to identify biological polymers at locations in the assembly, and then update the assembly to indicate the identified biological polymers at the locations in the assembly to obtain an updated assembly.