Difference between revisions of "Tutorials"

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==Running Tutorials on Your Computer==
 
==Running Tutorials on Your Computer==
−
Starting Fall 2019 we adopt [https://www.docker.com/ docker] to run our course material . We have created various [https://hub.docker.com/u/statisticalgenetics docker repositories] with source material freely available from [https://github.com/statgenetics/statgen-courses github] for users to readily setup and reproduce our tutorials on their own computers. These docker images can also be used as production tool to run relevant software on your computer (Mac, Linux or Windows) for your own data analysis.
+
Starting Fall 2019 we adopt [https://www.docker.com/ docker] to run our course material . We have created various [https://hub.docker.com/u/statisticalgenetics docker repositories] with source material freely available from [https://github.com/statgenetics/statgen-courses github] for users to readily setup and reproduce our tutorials on their own computers. These docker images can also be used as production tool to run relevant software on your computer (Mac, Linux or Windows) or even a high performance computing cluster (if properly configured) for your own data analysis.
  
−
In this document we will focus on discussing how to set it up and run course tutorials on your computer, using these docker images and optionally a utility script we created to streamline various docker commands.
+
===General instructions===
 +
* [https://github.com/statgenetics/statgen-courses/wiki/How-to-launch-course-tutorials#alternative-to-cloud-server-use-your-own-computer Instructions to setup course tutorial environment on your computer]
 +
* [https://github.com/statgenetics/statgen-courses/wiki/How-to-launch-course-tutorials#option-1-launch-exercise-in-jupyterlab Instructions to run course tutorial through JupyterLab]
 +
* [https://github.com/statgenetics/statgen-courses/wiki/How-to-launch-course-tutorials#option-2-launch-from-command-shell Instructions to run course tutorial through command line terminal]
  
−
===Pre-requisites===
+
===Preparing Your Computer===
−
Software you need to install on your computer are <code>SoS</code> (a workflow system to run our course utility script) and <code>docker</code>.
+
{| class="wikitable"
 +
|-
 +
||{{#ev:youtube|3K-sGzxsyK0|240|center|Linux}}
 +
||{{#ev:youtube|DRCDNBlxZ-w|240|center|Mac}}
 +
||{{#ev:youtube|sxv45NCSFMk|240|center|Windows}}
 +
|}
  
−
====Mac and Linux users====
+
===Running Exercises===
−
<code>SoS</code> requires Python 3.6+ to run. It is recommended that you install [https://docs.conda.io/en/latest/miniconda.html Miniconda] to run Python 3 if you don't have it already. Once you have Python 3 installed, simply type <code>pip install sos</code> to install <code>SoS</code>, or, check out [https://vatlab.github.io/sos-docs/running.html here for alternative installation methods] if you have troubles with that command. To install <code>docker</code> from command line please follow our instructions [http://statgen.us/lab-wiki/orientation/jupyter-setup.html#install-docker here]. Alternatively Mac users can download docker app for Mac and install from a graphical interface.
+
{{#ev:youtube|OgHvRVtIIog|320}}
  
−
Finally please download our utility script [https://raw.githubusercontent.com/statgenetics/statgen-courses/master/src/statgen-setup <code>src/statgen-setup</code>] to your <code>PATH</code> and change it to executable, eg, <code>chmod +x ~/bin/statgen-setup</code> if you put it under <code>~/bin</code> which is part of your <code>PATH</code>. To verify your setup, type:
+
===Tutorial specific instructions===
 +
We use a script [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup "statgen-setup"] to start the docker based environments for these tutorials. Please refer to the previous section for instructions on the installation of this script.
  
−
<pre>statgen-setup -h</pre>
+
Material and instructions for specific exercise are listed in each section below (''only those using statgen-setup command are relevant to our docker based tutorials''). They provide links to materials and a minimal set of commands to use for launching and running an exercise. Command "statgen-setup login" will allow you to start and login to a Linux command line environment (regardless of your current computational environment) to perform all analysis in command shells. This works for all the tutorials on this page. Additionally, some tutorials support command "statgen-setup launch" which will start a JupyterLab server to perform the analysis.
−
you should see some meaningful output.
+
−
 
+
−
====Windows users====
+
−
Running these tutorials in Windows is currently not supported. Although in principle these docker images will also work in Windows, this has not yet been tested out and we are unable to provide sure instructions to setting it up. The utility script "statgen-setup" that we provide will certainly need adjustments (though minor) to work with Windows.
+
−
 
+
−
===Tutorial specific instructions===
+
−
Material and instructions for specific exercise are listed in each section below (''only those using statgen-setup command are relevant to our docker based tutorials''). They provide links to materials and a minimal set of commands to use for launching and running an exercise. For advanced options and other features provided by our utility script please read here our [https://github.com/statgenetics/statgen-courses/blob/master/README.md complete documentation to the utility script].
+
  
 
==Alohomora==
 
==Alohomora==
−
* [http://statgen.us/files/tutorials/seqspark/Alohomora_Exercise_revised.pdf Exercise <nowiki>[PDF]</nowiki>]
+
* [http://statgen.us/files/tutorials/Alohomora_Exercise_revised.pdf Exercise <nowiki>[PDF]</nowiki>]
 
* [https://statgen.research.bcm.edu/files/2016/10/data/alohomora.zip Data Set]
 
* [https://statgen.research.bcm.edu/files/2016/10/data/alohomora.zip Data Set]
 
* [http://gmc.mdc-berlin.de/alohomora/ Software Link]
 
* [http://gmc.mdc-berlin.de/alohomora/ Software Link]
  
−
==Annotation==
+
==Annovar complex traits==
−
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/FunctionalAnnotation.docx Functional Annotation Exercise <nowiki>[DOCX]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/FunctionalAnnotation.pdf Functional Annotation Exercise <nowiki>[PDF]</nowiki>]
 
* [[Commands in Annotation Exercise|Exercise Commands]]
 
* [[Commands in Annotation Exercise|Exercise Commands]]
  
Line 35: Line 37:
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
==Annovar Mendelian traits==
−
 
+
−
==Annovar MEndelian==
+
 
* [http://statgen.us/files/tutorials/FunctionalAnnotation_Annovar_final.pdf Exercise <nowiki>[PDF]</nowiki>]
 
* [http://statgen.us/files/tutorials/FunctionalAnnotation_Annovar_final.pdf Exercise <nowiki>[PDF]</nowiki>]
−
* [https://statgen.research.bcm.edu/files/2017/09/commands/annovar-functional_annotation.txt Commands Part I - Functional Annotation]
+
* [https://statgen.us/files/2017/09/commands/annovar-functional_annotation.txt Commands Part I - Functional Annotation]
−
* [https://statgen.research.bcm.edu/files/2017/09/commands/annovar-variant_filtering.txt Commands Part II - Variant Filtering]
+
* [https://statgen.us/files/2017/09/commands/annovar-variant_filtering.txt Commands Part II - Variant Filtering]
  
 
==Cochran Armitage Trend Test==
 
==Cochran Armitage Trend Test==
 
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Armitage_sample_size.pdf CATT Exercise <nowiki>[PDF]</nowiki>]
 
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Armitage_sample_size.pdf CATT Exercise <nowiki>[PDF]</nowiki>]
 +
 +
 +
 +
==Epistasis (PLINK and CASSI)==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Epistasis_PLINK_CASSI.pdf Epistasis exercise <nowiki>[PDF]</nowiki>]
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial epistasis
 +
</pre>
 +
 +
 +
==FastLMM==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/FASTLMM.pdf FastLMM exercise <nowiki>[PDF]</nowiki>]
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial fastlmm-gcta
 +
</pre>
 +
 +
 +
==Fine-mapping (SuSiE method)==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/finemapping.docx susieR Exercise <nowiki>[DOCX]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/finemapping_answers.docx susieR Exercise Answers <nowiki>[DOCX]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/finemapping.ipynb susieR Exercise <nowiki>[Ipython notebook]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/finemapping_answers.ipynb susieR Exercise Answers <nowiki>[Ipython notebook]</nowiki>]
 +
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup launch --tutorial finemap
 +
</pre>
 +
 +
==GCTA==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/GCTA.pdf GCTA exercise <nowiki>[PDF]</nowiki>]
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial fastlmm-gcta
 +
</pre>
 +
  
 
==Gemini==
 
==Gemini==
Line 52: Line 93:
 
<pre>statgen-setup login --tutorial gemini
 
<pre>statgen-setup login --tutorial gemini
 
</pre>
 
</pre>
−
 
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
 
  
  
Line 67: Line 106:
  
 
==GWAS: Data Quality Control==
 
==GWAS: Data Quality Control==
−
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PLINK_data_QC.docx Exercise <nowiki>[PDF]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PLINK_data_QC.pdf Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/PLINK_Data_QC.ipynb Exercise <nowiki>[IPython Notebook]</nowiki>]
 
* [[GWAS Data QC Exercise|Exercise Commands]]
 
* [[GWAS Data QC Exercise|Exercise Commands]]
  
−
To run the exercise from docker image provided,
+
To run the exercise via JupyterLab from docker image provided,
  
−
<pre>statgen-setup login --tutorial plink
+
<pre>statgen-setup launch --tutorial plink
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
Alternatively, you can opt to run the exercise via command terminal from docker image provided,
  
 +
<pre>statgen-setup login --tutorial plink
 +
</pre>
  
 
==GWAS: Association Analysis Controlling for Population Substructure==
 
==GWAS: Association Analysis Controlling for Population Substructure==
−
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PLINK_Substructure.docx Exercise <nowiki>[PDF]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PLINK_Substructure.pdf Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/PLINK_Substructure.ipynb Exercise <nowiki>[IPython Notebook]</nowiki>]
 
* [[GWAS_Controlling_for_Population_Substructure|Exercise Commands]]
 
* [[GWAS_Controlling_for_Population_Substructure|Exercise Commands]]
  
−
To run the exercise from docker image provided,
+
To run the exercise via JupyterLab from docker image provided,
  
−
<pre>statgen-setup login --tutorial plink
+
<pre>statgen-setup launch --tutorial plink
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
Alternatively, you can opt to run the exercise via command terminal from docker image provided,
 +
 
 +
<pre>statgen-setup login --tutorial plink
 +
</pre>
  
 
==Homozygosity Mapper==
 
==Homozygosity Mapper==
Line 98: Line 144:
 
* [http://statgen.us/files/igv_exercise.zip Exercise files (VCF and BAM)]
 
* [http://statgen.us/files/igv_exercise.zip Exercise files (VCF and BAM)]
  
−
To run the exercise from docker image provided,
 
−
 
−
<pre>statgen-setup login --tutorial igv
 
−
</pre>
 
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
 
  
 
==Linkage/FastLinkage==
 
==Linkage/FastLinkage==
Line 114: Line 155:
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
==LD clumping==
 +
* [https://github.com/cumc/bioworkflows/blob/master/GWAS/LD_Clumping.ipynb LD Clumping Exercise <nowiki>[IPython Notebook]</nowiki>]
 +
 
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup launch --tutorial clumping
 +
</pre>
 +
 
 +
==MR-JTI for TWAS==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/MR_JTI.ipynb MR-JTI Exercise <nowiki>[IPython Notebook]</nowiki>]
 +
 
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup launch --tutorial twas
 +
</pre>
 +
 
 +
==Pleiotropy==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Pleiotropy.pdf Pleiotropy Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Pleiotropy_answers.pdf Pleiotropy Answers to Questions <nowiki>[PDF]</nowiki>]
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup login --tutorial pleiotropy
 +
</pre>
 +
 
 +
 
 +
==Polygenic risk prediction (NPS method)==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/NPS.pdf PRS NPS Exercise <nowiki>[DOCX]</nowiki>]
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup login --tutorial nps
 +
</pre>
 +
 
 +
 
 +
==Polygenic risk prediction (LDpred2 method)==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/ldpred2_example.pdf PRS LDpred2 Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://github.com/cumc/bioworkflows/blob/master/ldpred/ldpred2_example.ipynb PRS LDpred2 Exercise <nowiki>[Ipython Notebook]</nowiki>]
 +
 
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup launch --tutorial ldpred2
 +
</pre>
 +
 
 +
Then follow prompts on the terminal output to open up the JupyterLab server in your web browser. If it is the first time you start this server, please open a command terminal inside JupyterLab, and type
 +
 
 +
<pre>get-data</pre>
 +
 
 +
to load the data-set to the JupyterLab workspace.
 +
 
  
 
<!--
 
<!--
Line 132: Line 225:
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
 
  
 
==PSEQ==
 
==PSEQ==
−
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PSEQ.doc PSEQ Exercise <nowiki>[DOCX]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PSEQ.pdf PSEQ Exercise <nowiki>[PDF]</nowiki>]
−
* [[PSEQ Commands in Exercise|Exercise Commands]]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/PSEQ.ipynb PSEQ Exercise <nowiki>[Ipython Notebook]</nowiki>]
  
 
To run the exercise from docker image provided,
 
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup launch --tutorial pseq
 +
</pre>
 +
 +
Notice that since PSEQ exercise does not involve generating and visualizing plots, it is also fine to use a command terminal, instead of the JupyterLab server, to run this exercise and reproduce exactly what was described in the tutorial. To do so,
  
 
<pre>statgen-setup login --tutorial pseq
 
<pre>statgen-setup login --tutorial pseq
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
 
 +
 
 +
==R and PLINK==
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup launch --tutorial plink-r-nothnagel
 +
</pre>
 +
 
 +
 
 +
==REGENIE==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/regenie_example.pdf REGENIE Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/regenie_example.ipynb REGENIE Exercise <nowiki>[Ipython Notebook]</nowiki>]
 +
 
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup launch --tutorial regenie
 +
</pre>
 +
 
 +
Then follow prompts on the terminal output to open up the JupyterLab server in your web browser. If it is the first time you start this server, please open a command terminal inside JupyterLab, and type
 +
 
 +
<pre>get-data</pre>
 +
 
 +
to load the data-set to the JupyterLab workspace.
 +
 
 +
 
  
 
==Regression==
 
==Regression==
Line 154: Line 277:
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
 
  
 
==RV-TDT==
 
==RV-TDT==
−
* [http://statgen.us/files/tutorials/rvtdt/rvtdt_exercise_v3.pdf Exercise <nowiki>[PDF]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/RV-TDT.doc Exercise <nowiki>[DOC]</nowiki>]
 
* [[RV-TDT|Exercise Commands]]
 
* [[RV-TDT|Exercise Commands]]
  
Line 193: Line 315:
 
To run the exercise from docker image provided,
 
To run the exercise from docker image provided,
  
−
<pre>statgen-setup login --tutorial slink
+
<pre>statgen-setup login --tutorial slink</pre>
−
</pre>
+
−
 
+
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
−
 
+
−
 
+
  
 
==SUPERLINK==
 
==SUPERLINK==
Line 205: Line 322:
  
 
==Variant Association Tools==
 
==Variant Association Tools==
−
* [https://statgenetics.github.io/statgen-courses/notebooks/VAT.html VAT Exercise <nowiki>[HTML]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/VAT.docx VAT Exercise <nowiki>[DOCX]</nowiki>]
−
* [[VAT Commands in Exercise|Exercise Commands]]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/VAT.ipynb VAT Exercise <nowiki>[Ipython notebook]</nowiki>]
  
  
 
To run the exercise from docker image provided,
 
To run the exercise from docker image provided,
  
−
<pre>statgen-setup login --tutorial vat
+
<pre>statgen-setup launch --tutorial vat
 
</pre>
 
</pre>
  
−
The "statgen-setup" script is available [https://github.com/statgenetics/statgen-courses/blob/master/src/statgen-setup here] and can be installed following [https://github.com/statgenetics/statgen-courses/blob/master/README.md#prepare-your-computer-to-manage-the-tutorials these instructions].
+
Then follow the prompts on the terminal output to open up the JupyterLab server in your web browser. You should find the exercise notebook in the side panel, and you can click to open it.

Latest revision as of 16:06, 8 November 2022

Running Tutorials on Your Computer

Starting Fall 2019 we adopt docker to run our course material . We have created various docker repositories with source material freely available from github for users to readily setup and reproduce our tutorials on their own computers. These docker images can also be used as production tool to run relevant software on your computer (Mac, Linux or Windows) or even a high performance computing cluster (if properly configured) for your own data analysis.

General instructions

Preparing Your Computer

Linux
Mac
Windows

Running Exercises

Tutorial specific instructions

We use a script "statgen-setup" to start the docker based environments for these tutorials. Please refer to the previous section for instructions on the installation of this script.

Material and instructions for specific exercise are listed in each section below (only those using statgen-setup command are relevant to our docker based tutorials). They provide links to materials and a minimal set of commands to use for launching and running an exercise. Command "statgen-setup login" will allow you to start and login to a Linux command line environment (regardless of your current computational environment) to perform all analysis in command shells. This works for all the tutorials on this page. Additionally, some tutorials support command "statgen-setup launch" which will start a JupyterLab server to perform the analysis.

Alohomora

Annovar complex traits

To run the exercise from docker image provided, 

statgen-setup login --tutorial annovar

Annovar Mendelian traits

Cochran Armitage Trend Test


Epistasis (PLINK and CASSI)

To run the exercise from docker image provided, 

statgen-setup login --tutorial epistasis


FastLMM

To run the exercise from docker image provided, 

statgen-setup login --tutorial fastlmm-gcta


Fine-mapping (SuSiE method)


To run the exercise from docker image provided, 

statgen-setup launch --tutorial finemap

GCTA

To run the exercise from docker image provided, 

statgen-setup login --tutorial fastlmm-gcta


Gemini

To run the exercise from docker image provided, 

statgen-setup login --tutorial gemini


Genehunter


To install from packages, follow the configuration steps above and run the following command. 

sudo apt-get install genehunter-tutorial

The exercise's files will then be installed in the folder /home/shared/genehunter. You can run from there or copy the files into your user's home directory and proceed with the exercise.

GWAS: Data Quality Control

To run the exercise via JupyterLab from docker image provided, 

statgen-setup launch --tutorial plink

Alternatively, you can opt to run the exercise via command terminal from docker image provided, 

statgen-setup login --tutorial plink

GWAS: Association Analysis Controlling for Population Substructure

To run the exercise via JupyterLab from docker image provided, 

statgen-setup launch --tutorial plink

Alternatively, you can opt to run the exercise via command terminal from docker image provided, 

statgen-setup login --tutorial plink

Homozygosity Mapper

IGV


Linkage/FastLinkage


To run the exercise from docker image provided, 

statgen-setup login --tutorial mlink

LD clumping


To run the exercise from docker image provided, 

statgen-setup launch --tutorial clumping

MR-JTI for TWAS


To run the exercise from docker image provided, 

statgen-setup launch --tutorial twas

Pleiotropy

To run the exercise from docker image provided, 

statgen-setup login --tutorial pleiotropy


Polygenic risk prediction (NPS method)

To run the exercise from docker image provided, 

statgen-setup login --tutorial nps


Polygenic risk prediction (LDpred2 method)


To run the exercise from docker image provided, 

statgen-setup launch --tutorial ldpred2

Then follow prompts on the terminal output to open up the JupyterLab server in your web browser. If it is the first time you start this server, please open a command terminal inside JupyterLab, and type 

get-data

to load the data-set to the JupyterLab workspace.


Population Genetics


To run the exercise from docker image provided, 

statgen-setup login --tutorial popgen


PSEQ

To run the exercise from docker image provided, 

statgen-setup launch --tutorial pseq

Notice that since PSEQ exercise does not involve generating and visualizing plots, it is also fine to use a command terminal, instead of the JupyterLab server, to run this exercise and reproduce exactly what was described in the tutorial. To do so, 

statgen-setup login --tutorial pseq


R and PLINK

To run the exercise from docker image provided, 

statgen-setup launch --tutorial plink-r-nothnagel


REGENIE


To run the exercise from docker image provided, 

statgen-setup launch --tutorial regenie

Then follow prompts on the terminal output to open up the JupyterLab server in your web browser. If it is the first time you start this server, please open a command terminal inside JupyterLab, and type 

get-data

to load the data-set to the JupyterLab workspace.


Regression

To run the exercise from docker image provided, 

statgen-setup login --tutorial regression


RV-TDT

Installing Packages

To install from packages, follow the configuration steps above and run the following command. 

sudo apt-get install rvtdt-tutorial

The exercise's files will then be installed in the folder /home/shared/rvtdt. You can run from there or copy the files into your user's home directory and proceed with the exercise.

SEQLinkage


To install from packages, follow the configuration steps above and run the following command. 

sudo apt-get install seqlinkage-tutorial

The exercise's files will then be installed in the folder /home/shared/seqlinkage. You can run from there or copy the files into your user's home directory and proceed with the exercise.

SEQSpark

Installing Packages

To install from packages, follow the configuration steps above and run the following command. 

sudo apt-get install seqspark-tutorial

The exercise's files will then be installed in the folder /home/shared/seqspark. You can run from there or copy the files into your user's home directory and proceed with the exercise.In order for the commands to work correctly, you don't need to reboot, but you should log out and log back in to make sure that the computer's environment is correctly configured.

SLINK

To run the exercise from docker image provided, 

statgen-setup login --tutorial slink

SUPERLINK

Variant Association Tools


To run the exercise from docker image provided, 

statgen-setup launch --tutorial vat

Then follow the prompts on the terminal output to open up the JupyterLab server in your web browser. You should find the exercise notebook in the side panel, and you can click to open it.

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