Abstract: Provided includes methods, compositions and systems for single molecule seeding and amplification on a flow cell. In some embodiments, nucleic acids are isothermally seeded and amplified on a flow cell comprising multiple binding areas (e.g., pads), resulting in an ensemble of substantially the same amplified molecules on each of the binding areas.

Abstract: Disclosed herein include methods of specifying sites (e.g., sites for colony formation) on a surface (e.g., a planar surface) and generating a flow cell having the sites specified on a surface. Also disclosed are methods of performing sequencing (e.g., sequencing-by-synthesis and sequencing-by-binding) using the flow cell generated and processing (e.g., aligning, orienting, sorting, and assessing quality) images of the flow cell captured during sequencing.

Abstract: Optical fingerprints for label-free high-throughput (epi)genomics, transcriptomics, and proteomics profiling of single cells. Vibrational spectroscopy signatures combined with a molecular identification algorithm rooted in machine learning enables identification of nucleic acids and amino acids, and their molecular variations, thereby identifying genetic variation by mapping heterogeneity and identifying low copy-number variants. Additional embodiments include the BOCS algorithm which takes measurements of DNA k-mer content from high-throughput single-molecule Raman spectroscopy measurements and maps them to gene databases for probabilistic determination of genetic biomarkers at low coverages. Starting with a log of measured k-mer content blocks (B1 . . . Bn as shown) and a genetic biomarker database (excerpts from the MEGARes antibiotic resistance database are shown), the blocks are individually aligned to each gene in the database based on content.