Sentence examples for database and predict the from inspiring English sources

In this paper, we take an important health metric in Kenya (the proportion of outpatient treatments for malaria (MP)) from the national HMIS database and predict the values of MP at facilities where monthly records are missing.

An established practice is to compare the new sequence with sequences in a well-characterized database and predict the structure or function based on what is known about the sequences that closely match.

We searched the contigs against public microRNA database and predicted the stem-loop structures of six highly conserved microRNA families (miR319, miR396, miR160, miR172, miR162 and miR168) and one legume-specific family (miR2086).

We recently developed and implemented K-Map that systematically connects a kinase profile with a reference kinase inhibitor database and predicts the most effective inhibitor for a queried kinase profile [ 26, 27].

Ryu et al. [ 10] collected 33,651 protein-sequence variations from the SwissVariant database and predicted the effects of variants on phosphorylation binding sites using a phosphorylation-related variant prediction tool.

Later, the proposed model was used to identify aminooxadiazoles analogues in PubChem database and predict their PIM1 inhibitory activities.

We analyzed the pedigree and hip joint phenotypes of Labrador retrievers in the OFA database for the period of 1970 2007 and predicted the hip score breeding value for each dog to verify if there was genetic improvement over this period.

As many as 35 protein sequences have been identified within the NCBI database and predicted to share the same substrate profile as Bvu0222 (Table S3, Supporting Information).

Due to the limited number of cubozoan sequences available in protein databases, transcripts were searched against four databases using blastx — SwissProt, Cnidaria protein sequences from the GenBank non-redundant protein database and predicted protein sets from the Hydra magnipapillata and Nematostella vectensis genome projects.

Next, we downloaded the HIV proteome from the Los Alamos HIV database and predicted a set of potential HLA-A2 epitopes.

The results of the microarray studies show that the in vitro profiles of gene expression cluster per compound and incubation time, and when analyzed in a commercial gene expression database, can predict the toxicity and pathology observed in vivo.