Alignment-free methods based on sequence signatures are powerful for analyzing genomic data without using reference genomes.
However, obstacles for using LCLs to identify clinically relevant loci include elucidation of the translational relevance between donor and LCL, and the development of methods that are powerful for using DR data in gene mapping.
We used WGS as a resource in chromosome marker design for the cultivated soybean and other Glycine species, and found that use of the WGS data was powerful for searching for candidates of repeat sequences and designing probes for cytological research.
A short time-scale analysis using polymorphism data is powerful for investigating recent events such as emerged diseases or population migration dynamics.
The method, combined with proper in situ spectroscopy, is powerful for elucidating complex systems and noisy data as often encountered in heterogeneous catalytic reactions at solid liquid and solid gas interfaces under working conditions.
These results demonstrate that assignment tests based on microsatellite DNA data can be powerful tools for distinguishing closely related species and support the validity of P. putjatia.
In other words, laser scanner data are powerful data source for acquisition and updating of large scale topographic maps.
We think there are powerful uses for genetic data, including microarray data, in the real world of drug safety, to both test products and do "forensic" studies that is, go back and investigate safety problems after marketing.
–Janet Woodcock, CDER "We think there are powerful uses for genetic data, including microarray data, in the real world of drug safety, to both test products and do 'forensic' studies that is, go back and investigate safety problems after marketing," says CDER director Janet Woodcock.
Methods from multivariate data analysis are powerful tools for analyzing such data and for creating mathematical models; this is the essential part of today's chemometrics [1].
