In chasemc/ghosts: Protein and small molecule analysis of bacteria by MALDI-TOF MS
The new defb system has been updated so that the converted and processed data within each experiment is now saved in a single file in a SQLite database (per experiment).
Older versions of defb (the PNAS version) would create a folder named "defb" which, in turn, contained multiple folders with all of the data files.
Within this "defb" folder created with the old defb version, there should be a folder "Converted_To_mzXML".
In the new version of defb navigate to the "Starting with Raw Data" tab and choose "Click here to convert mzML/mzXML files". When asked to select the location of your mzML/mzXMl files, select the "Converted_To_mzXML" from your old defb analysis. After selecting "Process Data" your data will be converted to the new format and ready to use with the new version defb.
chasemc/ghosts documentation built on May 8, 2019, 12:50 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
The new defb system has been updated so that the converted and processed data within each experiment is now saved in a single file in a SQLite database (per experiment).
Older versions of defb (the PNAS version) would create a folder named "defb" which, in turn, contained multiple folders with all of the data files.
Within this "defb" folder created with the old defb version, there should be a folder "Converted_To_mzXML".
In the new version of defb navigate to the "Starting with Raw Data" tab and choose "Click here to convert mzML/mzXML files". When asked to select the location of your mzML/mzXMl files, select the "Converted_To_mzXML" from your old defb analysis. After selecting "Process Data" your data will be converted to the new format and ready to use with the new version defb.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.