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Depending on the capability to accumulate heavy metals, some species can be used in biomonitoring programs for the identification of disturbed areas.
Screening programs for the identification of early stage CRC and pre-neoplastic conditions can significantly improve disease outcome because of the treatment benefit of early detection [1].
Programs for the identification of modifiable risk factors and secondary prevention of falls are most often aimed at those patients presenting to the Accident & Emergency A&E Departmentnt after a fall [ 16- 18].
The application of bioinformatics programs for the identification of proteins that could be used as vaccine candidates is a very useful, easier, and shorter process compared with traditional vaccinology, which is important for the research concerning public health.
In this study, by using multiple programs for the identification of YY1 cofactors or ranking these cofactors based on their occurrences in different cell lines and predicting programs provides a scoring system that can be used to systematically prioritize the cofactors for the future downstream validation.
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LV provided the program for the identification of riboswitches.
This analysis employed NOVOMIR, a program for the identification of plant miRNA genes [ 40].
Despite the increasing number of published protein structures, and the fact that each protein's function relies on its three-dimensional structure, there is limited access to automatic programs used for the identification of critical residues from the protein structure, compared with those based on protein sequence.
Failure to provide these functionalities makes these programs inapplicable for the identification of genome rearrangement events such as inversions, insertions, reciprocal translocations and segmental duplications.
The putative promoter sequences in the metagenomic DNA fragment were predicted with the BDGP: Neural Network Promoter Prediction program using the 'prokaryote' mode (promoter score cutoff = 0.99; http://www.fruitfly.org/seq_tools/promoter.html), and the BProm program optimized for the identification of bacterial sigma70-dependent promoter sequences, the major E. coli promoter class.
Here, we report the development of a software program designed for the identification of rRNA genes from metagenomic fragments based on hidden Markov models (HMMs).
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