Sentence examples for database and the predictions from inspiring English sources

Given this resolution of our model, we predict that less than 5% ncRNAs exist in a dataset with the mean relative z-scores below 2. We collect six putative ncRNA datasets from the three sources: the FANTOM3 database, and the predictions of RNAz and EvoFold.

OPERA models were used to predict properties for chemical structures contained within the DSSTox database, and the prediction results and reliability assessment reports are available on the EPA's CompTox Chemistry Dashboard.

Both the database and the prediction system are publicly available at http://cbsb.lombardi.georgetown.edu/OGAP.html and http://cbsb.lombardi.georgetown.edu/filedown.php respectively [ 12, 13].

However, we noticed that there was no gene numbered Bol037164 in the database, and the prediction of the sequence between Bol037163 and Bol037165 showed that no gene existed here.

We obtain a good agreement between the enthalpies reported in databases and the predictions from ab initio calculations, for most refrigerant molecules.

Following BLAST searches, the MgCRP-I peptides did not show significant sequence similarity with any other sequence deposited in public databases and the prediction of their tridimensional structure was considered unreliable by Phyre 2, due to the absence of models sharing sufficient sequence affinity within the PDB database.

The ORFs were searched against a nonredundant protein database, and the ORF predictions and gene family identifications were done as previously described [ 27].

It is claimed that most of the predicted motifs exist in the reference databases, and therefore the predictions are valid.

Finally, several methods will be integrated in the automatic pipeline, such as the prediction of small non-coding RNAs, the classification of transporter genes using the TCDB database (47), and the prediction of operon structures.

These results suggest that some of the sequence data currently available in the database needs reanalysis and the predictions need to be validated by experimentation.

We compared our predictions for the same 6.5 million positions in the CADD database and to predictions from the GWAVA software tool.