The copyright of Spectrino software is owned by its author Teodor Krastev. The source code of the Windows application part of Spectrino IS NOT for distribution.

For R users

The latest version of Spectrino R package is 2.0 which is compatible with any 2.* versions of Spectrino application (currently v2.3).     

I have user report that Spectrino is not functional under R v4.3.0, the highest R version Spectrino is still operational  is 4.0.2.
I'm working on the issue.

The standard installation:

1. from R environment install Spectrino package (see Install.Packages() ). In Rstudio - Tools - Install packages menu command
2. load the Spectrino library: library(spectrino)
3. run spnInstallApp() and confirm with I (for Install), Spectrino will download and install the Spectrino application for you.
4. run spnNew() to create an instance of Spectrino in R and open Spectrino application
5. run spnValidation() to check the basic functionality (in some rare cases that will produce an error #4 and you need to restart R)   
6. try different commands
7. free the instance of Spectrino and close Spectrino application with spnFree(T) 

 Alternative (manual) installation:

1. download Spectrino R package from HERE . Install the package from a file (see Install.Packages() ).    
2. load the Spectrino library: library(spectrino)
3. download Spectrino application zip file from HERE
4. run  spnInstallApp("<your.path>exec2.zip") and confirm with I (for Install), where <your.path> is the directory where you downloaded the zip file.
5. continue from step 4 of the standard installation to the end.

Uninstall Spectrino:

1. in R -> see documentation and use uninstall.packages() or remove.packages() commands
2. in R studio -> Go to the Packages in right bottom corner of Rstudio, find the package name (spectrino) and click on the adjacent X icon to remove it.
3. Spectrino application directory is in your R library directory at spectrino/exec subdirectory, if R does not remove it do it manually.
   Spectrino application does not use Windows register, but if your R library is in read-only folder (e.g. Program Files) the data and config directories
   will be created in c:\Users\<your account>\AppData\Roaming\spectrino\ directory, which you should choose to remove or not.

You can manually install version 1.6 of spectrino if you wish so, following the same procedure. The corresponding file are:

spectrino_1.6.0.tar.gz for Spectrino package; exec.zip for Spectrino application (v1.6)

see the paper about and R documentation of package Spectrino (v1.6)

For any other programming language user

• download Spectrino application zip file from HERE
• unzip the file in folder of your choice
• run Spectrino.exe, that will create three additional folders in spectrino folder: Config, Data and Blocks with sample files.
• try different things (play with it). You can use Spectrino as stand-alone application for visualization and organization of your mass-specs, but you can use it from another language as well.
• if you are going to use it from Python, JavaScript or C# , there are libraries (see Clients) as wrappers of Spectrino commands.
• in case of any other language you can use Web-sockets or out-of-process COM communication protocols and use the Spectrino manual and Clients for guide lines.

If you would like to be informed about Spectrino update. You can do that from Help -> Check for updates in Spectrino app OR

follow the link and select Version Update from the About list.

 Some ideas for the next version of Spectrino:

-- pre-processing features:
  1. nonlinear baseline correction - automatic and semiautomatic;
  2. wavelet based filter for noise removal;
  3. curve fit based peak position extraction.

-- each tree has a list of names/types of selection fields (s.fields); type is numeric or character.
These could be used to add a dimensionality GC/LC-MS or MS/MS or specific experimental conditions. 

  Set the field list
  1. From the option panel
  2. From spnSetPPOpt('Normalize=1,MeanExtract=1,LowLimit=60,Fields={"g":0, "t":""}') 
 
  The list of fields is defined in options and is common for a tree - for both - groups and specs

  Various commands (from R or COM) to set and get the fields for each particular spec or group.
  A command to select (check) specs complaining selection criteria using the specs fields
  or another to return a list of groups by selection.

  Selection by numeric field is <low>:<high> if low or high (or both) is missing -/+infinity is assumed.
  Selection by string field is using regular expressions to extract a subset.
  For more sophistication selection, all the spec fields from a group or tree can by extracted in R (or COM)
  and there apply the complicated logic you need.

  For any ideas from your part, comments or bug report go HERE.