Difference between revisions of "Template:Create consensus from alignments"
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On the [[Grid form#Grid form|Grid form]] select sequences (cells) to include in the analysis. Then click "Create consensus from alignments" option in the '''Selected cells (rows)''' menu. Select desired alignment algorithm (default is set to global alignment) and double-check remaining options, then click "Done" button to create consensus. This function uses the external program [[General information#mafft|MAFFT]] for alignment.<br> | On the [[Grid form#Grid form|Grid form]] select sequences (cells) to include in the analysis. Then click "Create consensus from alignments" option in the '''Selected cells (rows)''' menu. Select desired alignment algorithm (default is set to global alignment) and double-check remaining options, then click "Done" button to create consensus. This function uses the external program [[General information#mafft|MAFFT]] for alignment.<br> | ||
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<br> Note: Greatly increasing the number of randomly selected sequences will significantly prolong already time demanding analysis, especially when using the accurate algorithms for larger datasets. For details on strategies see [[General information#mafft|MAFFT]]. | <br> Note: Greatly increasing the number of randomly selected sequences will significantly prolong already time demanding analysis, especially when using the accurate algorithms for larger datasets. For details on strategies see [[General information#mafft|MAFFT]]. |
Latest revision as of 10:55, 19 June 2015
Create consensus from Alignments
On the Grid form select sequences (cells) to include in the analysis. Then click "Create consensus from alignments" option in the Selected cells (rows) menu. Select desired alignment algorithm (default is set to global alignment) and double-check remaining options, then click "Done" button to create consensus. This function uses the external program MAFFT for alignment.
Note: Greatly increasing the number of randomly selected sequences will significantly prolong already time demanding analysis, especially when using the accurate algorithms for larger datasets. For details on strategies see MAFFT.