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However, this method cannot be easily used when multiple sequences are included in the data.
Each file holds one or more content sequences, as multiple sequences are useful for representing elements that belong together such as news articles comprised of headlines, text and pictures.
After multiple sequences are aligned, numerous viable regions may be found and conserved.
Previous simulation studies suggest that the LRTs based on site models may be more sensitive when multiple sequences are compared jointly on a phylogenetic tree [16], so we applied the LRTs to the dataset of nine mammalian species.
In such a non-genic sequence (and in a large concatenated one) motif preferences as we measure them are not independent from motifs occurrences –unlike the across-codon motif preferences and codon occurrences of a single coding region– but when the preferences from multiple sequences are averaged they too have an expectation 0.00 under the null hypothesis.
These multiple sequences are termed miRNA variants, also named isomiRs [ 19– 23].
Similar(44)
Multiple sequences were aligned using Clustal X [45].
The multiple sequences were aligned and compiled using the Sequencher software v4.7 (GeneCodes, Ann Arbor, Michigan).
Multiple sequences were aligned using MUSCLE software [ 46].
Multiple sequences were aligned using the ClustalW program.
Sequences were assembled with BioEdit, and multiple sequences were aligned with Clustal W (http://www.ebi.ac.uk/).ac.uk/
More suggestions(15)
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