+Cao, M. D., Ganesamoorthy, D., Elliott, A. G., Zhang, H., Cooper, M. A., & Coin, L. J. M. (2016). Streaming algorithms for identification of pathogens and antibiotic resistance potential from real-time MinIONTM sequencing. GigaScience, 5(1), 32. http://doi.org/10.1186/s13742-016-0137-2
-(To appear in GigaScience, a preprint of the article can be found on bioRxiv server at doi: http://dx.doi.org/10.1101/019356)
=====================
Software installation
@@ -202,14 +201,16 @@ In these sub-pipelines, you may want to modify the parameter -port for jsa.util
Once these `daemons <https://en.wikipedia.org/wiki/Daemon_(computing)>`_ are ready for their analyses, you can start npReader to streamline data into the integrated pipeline::
in which the -folder parameter specifies the downloads folder from the Metrichor base-calling, and the -stream parameter lists the computer addresses and port numbers that the analyses are listening on. At this point, you can start the MinION and Metrichor to start the real-time analyse.
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Retro-realtime analysis
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+Note npreader no longer support extracting time information. Please use an earlier version for this.
+
If your data have been sequenced, and depending on what processing steps have been done.
* If your data have not been base-cased, you can start the pipeline as above, and run Metrichor for base-calling your data.
@@ -222,7 +223,7 @@ If your data have been sequenced, and depending on what processing steps have be
* If you want to emulate the timing of your sequenced data, first convert the data to fastq format and extract the timing information (make sure parameter -time is turned on)::
Next sort the reads in the order they were generated::
@@ -256,7 +257,7 @@ Further documentations
More details of usage of the discussed programs are provided in `ReadTheDocs for Japsa <http://japsa.readthedocs.org/en/latest/>`_. More specificially:
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