Difference between revisions of "Tutorials"

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==Running Tutorials on Your Computer==
 
==Running Tutorials on Your Computer==
−
We have created a debian repository to make it easier to use our tutorials. Using this repository will require that you have administrator access to the computer on which you'll be using them. If you don't have this level of access, we also provide a pre-configured virtual machine image that will allow you to install software as root.
+
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.
  
−
The VM Image is available [https://statgen.research.bcm.edu/files/images/Statgen.ova here]. The password for the student account is "LetMeIn". Feel free to change it to whatever you like.
+
===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]
  
−
If you would like to use our repository on a VM or on your computer, follow these configuration steps. Please run as the root user or using the sudo command.
+
===Preparing Your Computer===
 +
{| class="wikitable"
 +
|-
 +
||{{#ev:youtube|3K-sGzxsyK0|240|center|Linux}}
 +
||{{#ev:youtube|DRCDNBlxZ-w|240|center|Mac}}
 +
||{{#ev:youtube|sxv45NCSFMk|240|center|Windows}}
 +
|}
  
−
<pre>echo "deb [trusted=yes] https://statgen.research.bcm.edu/deb ./" | sudo tee -a /etc/apt/sources.list.d/statgen.list
+
===Running Exercises===
−
sudo add-apt-repository ppa:webupd8team/java
+
{{#ev:youtube|OgHvRVtIIog|320}}
−
sudo apt-get update
+
 
 +
===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.
 +
 
 +
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==
 +
* [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]
 +
* [http://gmc.mdc-berlin.de/alohomora/ Software Link]
 +
 
 +
==Annovar complex traits==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/FunctionalAnnotation.pdf Functional Annotation Exercise <nowiki>[PDF]</nowiki>]
 +
* [[Commands in Annotation Exercise|Exercise Commands]]
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup login --tutorial annovar
 
</pre>
 
</pre>
  
−
==Annotation==
+
==Annovar Mendelian traits==
−
[http://statgen.us/files/tutorials/functional-annotation/FunctionalAnnotation_exercise_2018v2.pdf Functional Annotation Exercise <nowiki>[PDF]</nowiki>]
+
* [http://statgen.us/files/tutorials/FunctionalAnnotation_Annovar_final.pdf Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://statgen.us/files/2017/09/commands/annovar-functional_annotation.txt Commands Part I - Functional Annotation]
 +
* [https://statgen.us/files/2017/09/commands/annovar-variant_filtering.txt Commands Part II - Variant Filtering]
  
−
==GenABEL==
+
==Cochran Armitage Trend Test==
−
[http://statgen.us/files/tutorials/genabel/GenABEL_with_PLINK1.9.pdf GenABEL 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==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Gemini.docx Gemini exercise <nowiki>[DOCX]</nowiki>]
 +
 
 +
To run the exercise from docker image provided,
 +
 
 +
<pre>statgen-setup login --tutorial gemini
 +
</pre>
 +
 
 +
 
 +
==Genehunter==
 +
* [http://statgen.us/files/tutorials/genehunter/Mult_Genehunter.pdf <nowiki>[PDF]</nowiki>]
 +
* [[Genehunter Exercise|Exercise Commands]]
  
−
==GWAS: Data Quality Control==
 
−
* [http://statgen.us/files/tutorials/gwas-qc/PLINK_data_QC.pdf Exercise <nowiki>[PDF]</nowiki>]
 
  
−
====Installing Packages====
 
 
To install from packages, follow the configuration steps above and run the following command.
 
To install from packages, follow the configuration steps above and run the following command.
  
−
<pre>sudo apt-get install plink-tutorial</pre>
+
<pre>sudo apt-get install genehunter-tutorial</pre>
−
The exercise's files will then be installed in the folder ''/home/shared/Plink_DataQC''. You can run from there or copy the files into your user's home directory and proceed with the exercise.
+
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==
 +
* [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]]
  
 +
To run the exercise via JupyterLab from docker image provided,
 +
 +
<pre>statgen-setup launch --tutorial plink
 +
</pre>
 +
 +
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==
−
* [http://statgen.us/files/tutorials/gwas-substructure/GWAS_Data_Controlling_for_Substructure.pdf 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]]
  
−
====Installing Packages====
+
To run the exercise via JupyterLab from docker image provided,
−
To install from packages, follow the configuration steps above and run the following command.
+
  
−
<pre>sudo apt-get install plink-tutorial</pre>
+
<pre>statgen-setup launch --tutorial plink
−
The exercise's files will then be installed in the folder ''/home/shared/Plink_substructure''. You can run from there or copy the files into your user's home directory and proceed with the exercise.
+
</pre>
  
 +
Alternatively, you can opt to run the exercise via command terminal from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial plink
 +
</pre>
 +
 +
==Homozygosity Mapper==
 +
* [http://statgen.us/files/tutorials/Homozygosity_mapping_exercise_part_1.pdf Exercise Part I]
 +
* [http://statgen.us/files/tutorials/Homozygosity_mapping_exercise_part_2.pdf Exercise Part II]
 +
* [http://www.homozygositymapper.org Data Sets]
 +
 +
==IGV==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/IGV.docx IGV exercise <nowiki>[DOCX]</nowiki>]
 +
* [http://statgen.us/files/igv_exercise.zip Exercise files (VCF and BAM)]
 +
 +
 +
 +
==Linkage/FastLinkage==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/MLINK.pdf LINKAGE Exercise <nowiki>[DOCX]</nowiki>]
 +
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial mlink
 +
</pre>
 +
 +
==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.
 +
 +
 +
<!--
 +
==Population Genetics==
 +
* [http://statgen.us/files/tutorials/population/berlinseq.2.2.PopGen_exercise.pdf Population Exercise <nowiki>[PDF]</nowiki>]
 +
* [http://statgen.us/files/tutorials/population/berlinseq.2.2.PopGen_answers.pdf Exercise Answers <nowiki>[PDF]</nowiki>]
 +
* [http://statgen.us/files/tutorials/population/popgen_drift.q Commands for popgen_drift]
 +
* [http://statgen.us/files/tutorials/population/popgen_selection.q Commands for popgen_selection]
 +
-->
 +
==Population Genetics==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PopGen.docx Popgen Exercise <nowiki>[DOCX]</nowiki>]
 +
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial popgen
 +
</pre>
 +
 +
 +
==PSEQ==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/PSEQ.pdf PSEQ Exercise <nowiki>[PDF]</nowiki>]
 +
* [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,
 +
 +
<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>
 +
 +
 +
 +
==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==
 +
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/regression.docx Regression Exercise <nowiki>[DOCX]</nowiki>]
 +
* [[Regression_Exercise|Exercise Commands]]
 +
 +
To run the exercise from docker image provided,
 +
 +
<pre>statgen-setup login --tutorial regression
 +
</pre>
  
  
 
==RV-TDT==
 
==RV-TDT==
−
* [http://statgen.us/files/tutorials/rvtdt/rvtdt_exercise.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]]
  
 
====Installing Packages====
 
====Installing Packages====
Line 48: Line 288:
 
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.
 
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.
  
−
==PSEQ==
+
==SEQLinkage==
−
* [http://statgen.us/files/tutorials/pseq/PSEQ_exercise.pdf PSEQ Exercise <nowiki>[PDF]</nowiki>]
+
* [http://statgen.us/files/tutorials/SEQLinkage/SEQLinkage_revised_with_pg_numb.pdf SEQLinkage Exercise <nowiki>[PDF]</nowiki>]
−
* [http://statgen.us/files/tutorials/pseq/PSEQ_commands.txt Commands]
+
* [[SEQLinkage_Commands_in_Exercise|Exercise Commands]]
 +
 
 +
 
 +
To install from packages, follow the configuration steps above and run the following command.
 +
 
 +
<pre>sudo apt-get install seqlinkage-tutorial</pre>
 +
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==
 
==SEQSpark==
 
* [http://statgen.us/files/tutorials/seqspark/SEQSpark_exercise_Final_v4.pdf SEQSpark Exercise <nowiki>[PDF]</nowiki>]
 
* [http://statgen.us/files/tutorials/seqspark/SEQSpark_exercise_Final_v4.pdf SEQSpark Exercise <nowiki>[PDF]</nowiki>]
 +
* [[SEQSpark|Exercise Commands]]
 
* [http://statgen.us/files/images/SEQSpark.ova Virtual Machine Image]
 
* [http://statgen.us/files/images/SEQSpark.ova Virtual Machine Image]
  
Line 63: Line 310:
 
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.
 
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.
  
−
==Variant Association Tools==
+
==SLINK==
−
* [http://statgen.us/files/tutorials/vat/VAT_exercise_2018%20with_graphs.pdf VAT Exercise <nowiki>[PDF]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/Slink.doc SLINK Exercise <nowiki>[DOCX]</nowiki>]
  
−
====Installing Packages====
+
To run the exercise from docker image provided,
−
To install from packages, follow the configuration steps above and run the following command.
+
  
−
<pre>sudo apt-get install vtools-tutorial</pre>
+
<pre>statgen-setup login --tutorial slink</pre>
−
The exercise's files will then be installed in the folder ''/home/shared/vat''. You can run from there or copy the files into your user's home directory and proceed with the exercise.
+
  
−
==Cochran Armitage Trend Test==
+
==SUPERLINK==
−
* [http://statgen.us/files/tutorials/Armitage_sample_size_Berlin_1.pdf CATT Exercise <nowiki>[PDF]</nowiki>]
+
* [http://statgen.us/files/tutorials/Superlink_Exercise_v2.pdf SUPERLINK Exercise <nowiki>[PDF]</nowiki>]
 +
* [https://statgen.research.bcm.edu/files/2016/10/data/superlink.zip Superlink]
  
−
==Population Genetics==
+
==Variant Association Tools==
−
* [http://statgen.us/files/tutorials/population/Popgen_exe_ans.pdf Popgen Exercise <nowiki>[PDF]</nowiki>]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/handout/VAT.docx VAT Exercise <nowiki>[DOCX]</nowiki>]
−
* [http://statgen.us/files/tutorials/population/popgen_drift.q Commands for popgen_drift]
+
* [https://github.com/statgenetics/statgen-courses/blob/master/notebooks/VAT.ipynb VAT Exercise <nowiki>[Ipython notebook]</nowiki>]
−
* [http://statgen.us/files/tutorials/population/popgen_selection.q Commands for popgen_selection]
+
  
−
==GATK and IGV==
 
−
* [http://statgen.us/files/tutorials/Variant_calling_exercices_GATK_IGV.pdf GATK/IGV Exercise <nowiki>[PDF]</nowiki>]
 
  
−
====Software Links====
+
To run the exercise from docker image provided,
−
:* [https://www.broadinstitute.org/gatk/ GATK]
+
−
:* [http://www.broadinstitute.org/igv/ IGV] ([http://statgen.us/files/software/igv.jar Download JAR file])
+
  
−
====Result Files====
+
<pre>statgen-setup launch --tutorial vat
−
:* [http://statgen.us/files/2016/07/gatk_results.tar.gz GATK/IGV exercise]
+
</pre>
  
−
==Regression==
+
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.
−
* [http://statgen.us/files/tutorials/regression_exercise.pdf Regression Exercise <nowiki>[PDF]</nowiki>]
+
−
* [[Regression_Exercise|Commands in Exercise]]
+

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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