Mercurial > repos > iuc > mothur_shhh_flows
comparison shhh.flows.xml @ 5:7cca6773bc2a draft
planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/mothur commit 7f7605c2c8d8e92f3369dfdc290e5d8d06fa409a
| author | iuc |
|---|---|
| date | Fri, 03 Aug 2018 14:44:57 -0400 |
| parents | cb0fe730391d |
| children | af840f3c860e |
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| 4:b6a88afacb17 | 5:7cca6773bc2a |
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| 85 The shhh.flows_ command is Pat Schloss's translation of Chris Quince's PyroNoise algorithm [1] from C to C++ with the incorporation of mothur's bells and whistles. Based on processing of test datasets provided by Quince, shhh.flows gives the same/similar output to AmpliconNoise. shhh.flows uses a expectation-maximization algorithm to correct flowgrams to identify the idealized form of each flowgram and translate that flowgram to a DNA sequence. Our testing has shown that when Titanium data are trimmed to 450 flows using trim.flows, shhh.flows provides the highest quality data for any other method available. In contrast, when we use the min/max number of flows suggested by Quince of 360/720, the error rate is not that great. This much improved error rate does come at a computational cost. Whereas the features in trim.seqs take on the order of minutes, shhh.flows can take on the order of hours. You will also need a lookup file that tells shhh.flows the probability of observing an intensity value for a given homopolymer length. You can get mothur-compatible files at: https://www.mothur.org/wiki/Lookup_files | 85 The shhh.flows_ command is Pat Schloss's translation of Chris Quince's PyroNoise algorithm [1] from C to C++ with the incorporation of mothur's bells and whistles. Based on processing of test datasets provided by Quince, shhh.flows gives the same/similar output to AmpliconNoise. shhh.flows uses a expectation-maximization algorithm to correct flowgrams to identify the idealized form of each flowgram and translate that flowgram to a DNA sequence. Our testing has shown that when Titanium data are trimmed to 450 flows using trim.flows, shhh.flows provides the highest quality data for any other method available. In contrast, when we use the min/max number of flows suggested by Quince of 360/720, the error rate is not that great. This much improved error rate does come at a computational cost. Whereas the features in trim.seqs take on the order of minutes, shhh.flows can take on the order of hours. You will also need a lookup file that tells shhh.flows the probability of observing an intensity value for a given homopolymer length. You can get mothur-compatible files at: https://www.mothur.org/wiki/Lookup_files |
| 86 | 86 |
| 87 .. _shhh.flows: https://www.mothur.org/wiki/Shhh.flows | 87 .. _shhh.flows: https://www.mothur.org/wiki/Shhh.flows |
| 88 | 88 |
| 89 ]]></help> | 89 ]]></help> |
| 90 <expand macro="citations"/> | 90 <expand macro="citations"> |
| 91 <citation type="doi">10.1371/journal.pone.0027310</citation> | |
| 92 <citation type="doi">10.1186/1471-2105-12-38</citation> | |
| 93 <citation type="doi">10.1038/nmeth.1361</citation> | |
| 94 </expand> | |
| 91 </tool> | 95 </tool> |