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Myriad sequences the two patented genes, known as BRCA1 and BRCA2, for mutations that raise the risk of a woman getting breast and ovarian cancer.
The entire evolutionary history of life can be studied using myriad sequences generated by genomic research.
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Unprecedented advancements in molecular technology and major initiatives such as the Human Genome Project and the International Haplotype Map Project have created a need for methods to interpret the myriad sequence variations in the human genome, and to catalog disease-causing mutations.
They are currently viewed as the adaptors that are necessary for the myriad sequence-specific processing events occurring in chloroplast transcripts [ 35, 38].
However, the recent revolution in nucleic acid sequencing driven by shotgun and high-throughput technologies (e.g., pyrosequencing, Illumina, SOLiD, etc) has led to the rapid generation of myriad genomic sequences across the three superkingdoms and viruses.
With the completion of myriad genome sequencing projects, genetic bioengineering has expanded into many applications including the integrated analysis of complex pathways, the construction of new biological parts and the redesign of existing, natural biological systems.
However, choosing a small synton size in the LinePlot analysis tool (with S≤5 e.g considering five or less genes for each synteny group), highlighted a myriad of sequence matches (data not shown).
In addition, going from DNA to RNA, NGS has enabled researchers to mine the enormous amount of quantitative and qualitative data buried in the myriad of regulatory sequence elements that have been discovered in recent years, namely, miRNA, long noncoding RNA, small circular RNA, nuclear RNA, and nucleolar RNA.
He concluded that the episode is an example of "propulsive fun" and applauded its myriad of attention-grabbing sequences.
In order to predict localization from amino acid sequence a myriad of features have been tried: including amino acid composition, sequence similarity, the presence of certain motifs or domains, and many others.
Identifying coevolving positions in protein sequences has myriad applications, ranging from understanding and predicting the structure of single molecules to generating proteome-wide predictions of interactions.
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