Abstract: Methods for identifying a peptide by analyzing a linear readout representative of at least a portion of at least two amino acids along the peptide using a machine learning model, wherein the machine learning model is trained on linear readouts representative of a set of peptides of known sequence are provided. Methods of training a machine learning model on linear readouts representative of a set of known peptides, and systems for performing the methods of the invention are also provided.

Abstract: Systems comprising a light source, thin membrane immersed in an aqueous solution and a system to direct and focus light from the light source to a spot on the membrane are provided. Methods of thinning and etching a membrane are also provided, as are membranes comprising a nanopore with a Gaussian curve shaped cross-section.