Closed lukato01 closed 2 years ago
http://illumina.github.io/interop/python_binding.html
New simplified interface
from interop import *
ar = imaging("path/to/run_folder")
Here is a list of simplified functions: http://illumina.github.io/interop/namespacecore.html
You probably want the summary
function, which has a similar interface to imaging above.
You can pass this directly to a Pandas data frame
from interop import *
import pandas as pd
df = pd.DataFrame(summary("path/to/run_folder"))
I would like to be able to open, read and summarize the QMetricsByLaneOut.bin file. Which of the function would allow me to do that. Whatever i tried so far has not worked.
The InterOp Library does not work from a single interop file.
You can use the following (also above) to summarize metrics per lane/read including Q30
from interop import *
import pandas as pd
df = pd.DataFrame(summary("path/to/run_folder"))
The function mentioned above seem to summarize per read metrics and not per lane Metrics. When i log into the Illumina platform, and select a specific run, there is a display of per lane metrics under the metrics label. Here is the an example of the visual i see
Is there a way to get this type of summary via InterOp library? If so, can you please tell me which functions from the library would be the most useful.
The first column is lane, the second is status and the third is read. So per lane, is also per read.
This same function is used to create that table. There are various levels of summary it can do as the following examples demonstrate:
This example shows how to render it on the run level https://github.com/Illumina/interop/blob/master/src/ext/python/core.py#L235
This one on the read level https://github.com/Illumina/interop/blob/master/src/ext/python/core.py#L247
This one on the per lane per read level (just as your example above) https://github.com/Illumina/interop/blob/master/src/ext/python/core.py#L252
I can't find any documentation that would help me get the Per lane Metrics via the Interop library using Python.