Abstract: The invention is directed towards novel amino acid based compounds, which may be isotopically enriched, and methods of use of such compounds for characterizing one or more molecules of a sample by mass spectrometry, the method comprising: (a) reacting the one or more molecules with the compound; and (b) characterizing the one or more molecules by mass spectrometry.

Abstract: The invention is directed towards novel amino acid based compounds, which may be isotopically enriched, and methods of use of such compounds for characterising one or more molecules of a sample by mass spectrometry, the method comprising: (a) reacting the one or more molecules with the compound; and (b) characterising the one or more molecules by mass spectrometry.

Abstract: A method for analyzing mass spectrometry data of biological and other samples for differential expression and data analysis is provided. The method employs a recursive base peak framing process for grouping spectral data points from sample sets together. Initially, a filtered set or all of the spectral data points in a raw data set are sorted by intensity, a global base peak, the peak of greatest intensity, is identified from the sample sets, and a frame is drawn around the global base peak. The remaining spectral data points are compared to the frame. Those that fit within the frame, and are likely to be associated with the global base peak, are associated with the frame in a database. An additional frame is established around the first spectral data point that does not fit within the defined frame. This spectral data point is a “local base peak,” a spectral data point of maximal intensity outside of the frame defined around the global base peak, and therefore not likely related to the global base peak.

Abstract: The present invention is in the field of bioinformatics, particularly as it pertains to determining the associations of biological elements. More specifically, the present invention relates to the determination of associations among a set of biological elements using an algorithm that is capable of generating a Steiner tree.

Abstract: The present invention is in the field of bioinformatics, particularly as it pertains to determining the associations of biological elements. More specifically, the present invention relates to the determination of associations among a set of biological elements using an algorithm that is capable of generating a Steiner tree.