MEMs, widely used to address correlations in repeated-measures and multi-level data (Laird and Ware, 1982), are an alternative latent variable modeling strategy that has been described for characterizing association between multiple SNPs, within and across genes, and a measured trait (Foulkes et al., 2005; Goeman et al., 2004; Foulkes and De Gruttola, 2002).
A cell is described for characterizing the diffusion of small molecules through thin polymer films using attenuated total reflectance (ATR) Fourier-transform infrared spectroscopy.
Over the past several decades, many computational methods have been described for identifying, characterizing and searching with sequence motifs.
To address this need, several immunoassay formats have been described for use in characterizing potential immune responses.
The activity exo-β-1,3-glucanase (EC 3.2.1.58) has been described for most of the characterized examples, all found among the apparently secreted enzymes.
While a wide range of functions has been described for these PARPs, most characterized members of Clade 1 have been implicated in or demonstrated to have roles in DNA damage response and repair.
A number of mAbs have been described for EBOV, but few have been characterized in detail for SUDV.
They are characterized by genetic stability, and frequent mutations have been described for KRAS, BRAF, PTEN, PIK3CA, and ERBB2.
Type 1 fimbriae are already well characterized for their role in ExPEC pathogenesis; however, yqi has until now never been described for its potential role during infection.
In particular, the use of promoters derived from the bacteriophage T5 was described for the first time in this work, characterizing the j5 promoter as the strongest promoter yet to be applied in R. eutropha H16.
Recently, a method based on MALDI was described for the estimation of the parameters which characterize the viscosity of a polymer, namely the Mark Houwink Sakurada (MHS) parameters.
