Based on the coding potential profiles trained from Angiosperms (Arabidopsis) and Gymnosperms (Norway spruce) protein coding genes, we used AUGUSTUS [ 69] to distinguish the coding and the UTR regions, and the coding direction of a given transcript sequence.
Reads from two 50-fold and 3-fold coverage genomes were simulated using the pIRS software (Hu et al., 2012), with empirical base-calling and GC%-depth profiles trained on five modern P. infestans genomes (P13527, P13626, 06_3928A, NL07434 and P17777).
To profile training habits and injuries in football players participating in a national Masters tournament.
Exercise Balikatan (literally shoulder-to-shoulder in Tagalog) is one of the higher profile training engagements with US forces conducted in the Philippines, especially in the post-9/11 security environment.
The transfer of the senior stage of comprehensive school to the profile training significantly expands opportunities for the research activity of pupils that is one of productive ways of their research competence formation.
We identified separate gene signatures (CPH models) on the unpurified profile and the ISOpure cancer profile training sets, and used them to classify test-set patients into low-risk and high-risk groups.
The length of the prediction motif has been extended from 6 to 17 residues, and the number of higher eukaryotic sequences used for amino acid profile training expanded to 389.
By using previously established gene expression profiles with proven value in predicting metastasis-free and overall survival (wound-response signature, 70-gene prognosis profile and hypoxia-induced profile) and training towards an optimal prediction of local recurrences in a training series, we establish a classifier for local recurrence after breast-conserving therapy.
Our method identifies indel candidates using a discriminative classifier based on features of split read alignment profiles and trained on true and false indel candidates that were validated by Sanger sequencing.
Based on the predicted workload, the Reader profile and Loader profile which are trained offline are used to estimate their resource demands for time t + 1, denoted by rR(t + 1) and rL(t + 1) respectively.
