The data obtained from the mass spectrometer, i.e. the mass spectrum, consists of two series of information, namely, the mass-to-charge ratio and the signal (ion) intensity. Existing software which analyses mass spectrum data typically utilizes the signal (ion) intensity to identify and isolate noise. However, due to the complexity involved in this process, the actual analysis of the mass spectrum is usually carried out by solely using the mass-to-charge ratio data. This aside, a higher degree of analysis accuracy and efficacy could actually be achieved if data from both mass-to-charge ratio and signal (ion) intensity series are included in the analysis.
Our analysis software is built around a technology which enables identification of molecular and biomolecular sequences with a high degree of accuracy through the following means:

i. The inclusion of data from both the mass-to-charge ratio and the signal (ion) intensity series
ii. Taking into consideration, the individual characteristics of different mass spectrometers
iii. Taking into consideration, distinctive molecular cleavage patterns

   At present, publicly available biological databases are predominantly captured in text format. While some recently created databases have seen improvements in terms of speed of analysis and usability through the integration of cutting-edge technologies such as XML and RDBMS (Relational Database Management System), the majority of existing databases remain in text format.
   The biomolecules-identification software produced by our firm has wide-ranging applicability including the conversion of existing text-based databases into RDBMS format and acceleration of cross-referencing speed between different databases