Our Technology
Discover novel nucleic acid biomarkers with unprecedented sensitivity and accuracy.
Level-Up library normalization technology
Level-Up is a cDNA normalization technology which allows for maximum sampling efficiency during sequencing. This can reduce sequencing costs by up to 90% while increasing the limit of detection for nucleic acid biomarkers such as low expressed genes (in RNA sequencing) or genetic material from low abundance micro organisms (metagenomics). Level-Up works with all current sequencing technologies. Since it does not use targeted probes or depletion, it is ideal for achieving greater sensitivity of detection without biochemical bias toward target nucleic acid sequences.
RNA sequencing for gene discovery is typically inefficient due to the presence of high abundance “house keeping“ genes (blue RNA molecules in diagram). During sequencing a large percentage of the resulting reads are generated from these non-informative genes. This makes discovering novel biomarker genes/transcripts (non blue RNA molecules) expensive or sometimes impossible.
Level-Up Normalization creates a uniform distribution of all unique sequences in your cDNA library thus allowing for the maximum non-targeted sequencing efficiency for biomarker discovery. In tests, we could reduce the amount of sequencing needed by 90% while improving discovery of genes and isoforms.
TAMA 3rd generation long read RNA sequencing bioinformatic software
TAMA is a software package for analyzing long read RNA sequencing data. It is designed specifically for sensitivity of detection of novel genes and isoforms (including long non-coding RNA and Non-sense Mediated Decay RNA). TAMA includes tools for integrating long read data with other data types such as short read RNAseq, public annotations, and protein databases. TAMA also contains QC measurements to gauge the quality of sequencing runs allowing for better project management.
