- Open "anaconda prompt"
- type:
pip install git+https://github.com/rgiessmann/peaks
- Download this repository and unzip it to
C:\peaks
- Open "anaconda prompt"
- navigate to the folder containing the file called "input_traces.csv" (you can do this by typing:
cd ...
where ... can be the absolute path, e.g.C:\Users\Robert\Desktop\
) - type:
ipython C:\peaks\scripts\run_*.ipy
, where you replace * with the filename you want to run
- Open "anaconda prompt"
- navigate to the folder containing the .csv files generated by PeakScanner (you can do this by typing:
cd ...
where ... can be the absolute path, e.g.C:\Users\Robert\Desktop\
) - type:
annotate -i <analyzed_peak_file.csv> <raw_peak_file.csv> <raw_peak_file2.csv> ...
, where you replace the<...>
with the real filenames
tab separated values
File name | Dye color | Ltot concentration (µM) |
---|---|---|
01-18-16-11-27 AM.fsa | B | 0 |
01-18-16-35-11 AM.fsa | B | 5 |
--> auto-picking of reference trace from all 0M traces?
comma separated values
| Status|Sample Name|Sample Type|Size Standard|Analysis Method|SQI|Offscale|Quality|UD1|UD2|UD3|Dye|Sample Peak|Sample File Name|Size|Height|Area in Point|Area in BP|Data Point|Begin Point|Begin BP|End Point|End BP|Width in Point|Width in BP|User Comments|User Edit | --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | ---| --- | --- | --- Analyzed|0|Sample|bto 550|Sizing Default - NPP|false|Pass|Pass||||B|1|01-18-16-11-27 AM.fsa||123|1117|0|2065|2052|-1|2072|-1|10|0|| Analyzed|0|Sample|bto 550|Sizing Default - NPP|false|Pass|Pass||||B|2|01-18-16-11-27 AM.fsa||83|911|0|2079|2072|-1|2091|-1|10|0||