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analysis:nsb2017:week1 [2017/07/06 18:32]
mvdm [Configuring MATLAB to use the code from GitHub]
analysis:nsb2017:week1 [2018/04/17 15:20] (current)
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 Resources: Resources:
   * Recommended:​ [[http://​www.ploscompbiol.org/​article/​info%3Adoi%2F10.1371%2Fjournal.pcbi.1000424|Noble,​ A Quick Guide to Organizing Computational Biology Projects]] ([[http://​www.ploscompbiol.org/​article/​fetchObject.action?​uri=info%3Adoi%2F10.1371%2Fjournal.pcbi.1000424&​representation=PDF|direct link to pdf]]) (yes, yours is one)   * Recommended:​ [[http://​www.ploscompbiol.org/​article/​info%3Adoi%2F10.1371%2Fjournal.pcbi.1000424|Noble,​ A Quick Guide to Organizing Computational Biology Projects]] ([[http://​www.ploscompbiol.org/​article/​fetchObject.action?​uri=info%3Adoi%2F10.1371%2Fjournal.pcbi.1000424&​representation=PDF|direct link to pdf]]) (yes, yours is one)
-  * Optional: Introduction to version control with %%GitHub%%: [[http://​www.youtube.com/​GitHubGuides|Youtube videos]],​[[http://​readwrite.com/​2013/​09/​30/​understanding-github-a-journey-for-beginners-part-1|ReadWrite blog]]+  * Optional: Introduction to version control with %%GitHub%%: ​[[https://​try.github.io/​levels/​1/​challenges/​1 | 
 + Try Git]] interactive game, [[http://​www.youtube.com/​GitHubGuides|Youtube videos]],​[[http://​readwrite.com/​2013/​09/​30/​understanding-github-a-journey-for-beginners-part-1|ReadWrite blog]]
   * More Git and GitHub resources: [[http://​git-scm.com/​book/​en/​Getting-Started-Git-Basics|more detailed doc pages]], [[http://​stackoverflow.com/​questions/​tagged/​git|git tagged questions on StackOverflow]],​ [[https://​github.s3.amazonaws.com/​media/​progit.en.pdf|Pro Git manual]] (surprisingly readable)   * More Git and GitHub resources: [[http://​git-scm.com/​book/​en/​Getting-Started-Git-Basics|more detailed doc pages]], [[http://​stackoverflow.com/​questions/​tagged/​git|git tagged questions on StackOverflow]],​ [[https://​github.s3.amazonaws.com/​media/​progit.en.pdf|Pro Git manual]] (surprisingly readable)
   * Optional: MATLAB documentation on [[http://​www.mathworks.com/​help/​matlab/​matlab_env/​understanding-file-locations-in-matlab.html|File Locations]] and [[http://​www.mathworks.com/​help/​matlab/​matlab_env/​what-is-the-matlab-search-path.html#​br8ch8o|Search Paths]]   * Optional: MATLAB documentation on [[http://​www.mathworks.com/​help/​matlab/​matlab_env/​understanding-file-locations-in-matlab.html|File Locations]] and [[http://​www.mathworks.com/​help/​matlab/​matlab_env/​what-is-the-matlab-search-path.html#​br8ch8o|Search Paths]]
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 As an alternative,​ you can navigate to the course repository [[https://​github.com/​mvdm/​nsb2017|web page]] on %%GitHub%%. There, click the button "Clone in desktop",​ and your %%GitHub%% client should prompt you to accept the clone (tested successfully with Chrome, %%YMMV%%). If this fails, you can [[http://​joe.blog.freemansoft.com/​2014/​04/​github-clone-to-desktop-with-windows.html|drag]] the URL from your browser into your %%GitHub%% client. As an alternative,​ you can navigate to the course repository [[https://​github.com/​mvdm/​nsb2017|web page]] on %%GitHub%%. There, click the button "Clone in desktop",​ and your %%GitHub%% client should prompt you to accept the clone (tested successfully with Chrome, %%YMMV%%). If this fails, you can [[http://​joe.blog.freemansoft.com/​2014/​04/​github-clone-to-desktop-with-windows.html|drag]] the URL from your browser into your %%GitHub%% client.
  
-Now, verify that the above steps have resulted in the creation of a ''​nsb2017''​ folder with various subfolders and files in it, indicating that you have a local copy of the codebase. Because Git is tracking the contents of this folder, it is now easy to "​pull"​ the latest version from %%GitHub%%, either from the command line:+Now, verify that the above steps have resulted in the creation of a ''​nsb2017''​ folder with various subfolders and files in it, indicating that you have a local copy of the codebase. Because Git is tracking the contents of this folder, it is now easy to "​pull"​ the latest version from %%GitHub%%, either from the command line (after you ''​cd''​ into the ''​nsb2017''​ folder):
  
 <​code>​ <​code>​
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 % cd('​D:​\My_Documents\GitHub\FieldTrip'​);​ % or whatever you chose, obviously % cd('​D:​\My_Documents\GitHub\FieldTrip'​);​ % or whatever you chose, obviously
 % ft_defaults;​ % ft_defaults;​
 +% rmpath('​D:​\My_Documents\GitHub\GitHub\fieldtrip\external\signal\'​) % needed to preserve use of MATLAB filtfilt.m
 </​code>​ </​code>​
  
 This ensures that whenever you click this button, you have a clean **path** (the set of folders, other than the current working directory, whose contents MATLAB can access) of only the MATLAB default plus your local versions of the two %%GitHub%% repositories. This ensures that whenever you click this button, you have a clean **path** (the set of folders, other than the current working directory, whose contents MATLAB can access) of only the MATLAB default plus your local versions of the two %%GitHub%% repositories.
  
-:!: When setting your path in MATLAB to add the ''​shared''​ folder only and //​not// ​the parent folder ''​nsb2017''​. Adding the entire nsb2017 folder will result in an error when you try to run the LoadCSC command later in the module:+:!: When setting your path in MATLAB to add the ''​shared''​ folder only and //​not// ​parent folder ​such as ''​nsb2017''​. Adding the entire ​''​nsb2017'' ​folder will result in an error when you try to run the LoadCSC command later in the module!
  
 Optional: if you don't like the ''​.git''​ folders in your path, you can get clever with [[http://​www.mathworks.com/​help/​matlab/​matlab_prog/​regular-expressions.html|regular expressions]] to remove these: Optional: if you don't like the ''​.git''​ folders in your path, you can get clever with [[http://​www.mathworks.com/​help/​matlab/​matlab_prog/​regular-expressions.html|regular expressions]] to remove these:
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 Next, let's get some data! Go to the NS&B share and find the ''​ExampleData''​ folder (within the MouseHippocampus folder). Next, let's get some data! Go to the NS&B share and find the ''​ExampleData''​ folder (within the MouseHippocampus folder).
  
-For this module you will need the ''​R016-2012-10-08''​ folder (containing data from one recording session), which you can find in the /promoted/R016 folder. A good place to put it is in something like ''​D:​\data\promoted\''​ (Rxxx indicate different rats, followed by the date of each session). As mentioned, in general you want to keep your data separate from your code; for instance, multiple analysis projects may use the same data, so you don't want to duplicate it.+For this module you will need the ''​R016-2012-10-08''​ folder (containing data from one recording session), which you can find in the ''​\promoted\R016'' ​folder ​on the share. Copy this folder onto your own computer. A good place to put it is in something like ''​D:​\data\promoted\''​ (Rxxx indicate different rats, followed by the date of each session). As mentioned, in general you want to keep your data separate from your code; for instance, multiple analysis projects may use the same data, so you don't want to duplicate it.
  
 The choice of the folder name ''​promoted''​ indicates that these are data folders for which preprocessing is completed. As will be explained further in Module 2 and others, preprocessing typically includes the renaming of raw data files, annotation, spike sorting, and a few other steps. In general, it is useful to keep promoted data separate from data still in process. The choice of the folder name ''​promoted''​ indicates that these are data folders for which preprocessing is completed. As will be explained further in Module 2 and others, preprocessing typically includes the renaming of raw data files, annotation, spike sorting, and a few other steps. In general, it is useful to keep promoted data separate from data still in process.
analysis/nsb2017/week1.1499365920.txt.gz · Last modified: 2018/04/17 15:21 (external edit)