Fingerprint algorithm

Woolfitt, A. Moura, H. Barr, J. De, B. Popovic,T. Satten, G. Jarman, K. H. Wahl, K. L., Differentiation of Bacillus spp. by MALDI-TOF mass spectrometry using a bacterial fingerprinting algorithm and a random forest classification algorithm. Presented at 5th ISIAM Meeting, Richland, WA 2004. 

Figure 2-65. This fingerprint was received by hashing, whereas only one part of all the substructures is specified in the illustration. The asterisk indicates the address of a collision in the bit string, generated by the algorithm.

Fig. 5. Structural superposition of binding sites using Med-Sumo . The Surface Chemical Features (SCF) are used to superimpose the protein binding sites (toppanel).The SCF are represented in color code bar (bottom panel) and the SUMO score measure the quality of the 3D structural superimposition that is calculated using a bit-wise matching algorithm of the color code-bar fingerprint (bottom panel).

Current pollen detection and warning systems are based solely on morphological information. Pollen samples are deposited from the air, pretreated, and then analysed microscopically. The method works well, but it can be slow. Our research is directed towards the development of a fast automated on-line detection of pollen species based on Raman spectral fingerprints. The Raman spectra are treated as patterns that can be recognized by identification algorithms, which are more objective and less time-consuming than mere visual inspection. 

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