To test the effectiveness of using the UMD reliable overlaps with PhrapUMD, we incorporated our methods into Atlas, the Baylor College of Medicine assembly program.
A natural extension of this work is to incorporate our new method into Zhang-Server to see how much we can advance the state-of-the-art of protein modeling.
Surface-active agents (surfactants) are incorporated into our method by a scalar quantity describing the local concentration of molecules in the bulk phase and on the interface.
In this section, we show how some types of such prior knowledge can be incorporated into our method, leading to fewer experiments required for identification.
For specific drugs, a stricter conservation ratio of atoms essential for binding action of the respective drugs can be readily incorporated in our method.
For proteins with a dramatically high uncertainty from 2-D gel analysis, several techniques, such as prefractionation, parallel and repeated run of gels, are available to reduce the noise level before these proteomic data are incorporated in our method.
These examples show that the formalism presented here, which incorporates our simple method for finding the effective masses of the vertical BL and BP, agrees well with all previously known results on this subject.
By incorporating this information, our method implements a more biologically accurate model of the k-mer abundance distribution, adapting the procedure of [ 22] to high-coverage (>30×), short-read sequences.
In comparison with existing approaches that incorporate statistical shape models, our method does not extract any principal model of the shape or appearance of the left ventricle.
