Sentence examples for using a prediction software from inspiring English sources

Reads that were not annotated were used to predict novel miRNAs using a prediction software Mireap (http://sourceforge.net/projects/mireap/), which was developed by the BGI, by exploring the secondary structure, the Dicer cleavage site and the minimum free energy of the unannotated small RNA tags which could be mapped to genome.

From the genomic data, it is predicted that only the most commonly found selenoprotein, alpha subunit of formate dehydrogenase encoded by fdoG, is present in L. hongkongensis using a selenoprotein prediction software bSECISearch [ 28, 29].

Using motif prediction software, a motif has been discovered in A. thaliana introns that is postulated to be involved in the process of intron mediated enhancement (IME) of gene expression [25].

The remaining unannotated sRNAs were used to predict novel miRNAs using the prediction software Mireap [ 57].

The three genes were identified using Softbarry prediction software (http://linux1.softberry.com) and named WheatPME1-A, WheatPME1-B and WheatPME1-D (Additional file 1: Figure S1).

We attempted to obtain a full-length sequence for these genes using gene prediction software on the genome sequence surrounding these partial sequences but did not yield any results.

The 3′UTRs were queried for predicted binding by miR-221 and let-7c using three prediction software; TargetScan, PicTar and DIANA tools [ 10 – 12 ].

Similar to human BBS7, the TbARL6 protein does not contain a nuclear localisation signal (NLS) but does have a leucine-rich nuclear export signal (NES) motif (residues 139 147), using the prediction software programs NLStradamus and NetNES 1.1 [38,39].

To investigate the target involved in the EMT regulation triggered by miR-124, we searched putative target genes using bioinformatics prediction software Targetscan (version 6.0, November 2011, Whitehead Institute for Biomedical Research) and 1654 conserved targets were predicted.

The authenticity of uncertain sequences was evaluated by searching the genomic and EST databases by tBLASTn using the identified sequences as the query and also by using transmembrane prediction software [31].

Other features such as tRNAs and rRNAs may then added using other prediction software [ 20].