Difference between revisions of "Tutorials"

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(Isolate Peaks)
(How to Create a VCF File From a Chain File)
 
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== ChIP-Seq Analysis ==
 
== ChIP-Seq Analysis ==
'''Goal:''' First, isolate the peaks from the data generated from a ChIP-Seq experiment. Then generate a list of genes that have a peak in their promoter and associate for each promoter the score of the peak summit.
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The objective of the [[ChIP-Seq Tutorial]] is to illustrate how GenPlay can be used to isolate peaks from the data generated from a ChIP-Seq experiment.
  
=== Load the file ===
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== TimEX Analysis ==
Start by downloading download the file from the tutorial directory here.
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The [[TimEX Tutorial]] illustrates how GenPlay can be used to show timing of replication profiles.
You can also the refSeq gene annotation file here.
 
After that you can start GenPlay from the Web Start link that is located on top of this page. The 1 GB link is enough for this tutorial.
 
For this experiment we're going to work only on the first chromosome so the loading is shorter and the amount of memory needed is smaller too.
 
We first want to know if the position between the two strands are shifted.
 
For that we need to load the file twice, on the 3' and on the 5' separately.  
 
  
[[image:tutorial1_empty_track_menu.png|left|thumb|100px|Figure 1: Load Menu]]
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== Multi-Genome Analysis ==
You need to right click on the track  handler of the 1st row, in order to open the menu that will allow you to load the track (figure 1). Select the Load Fixed Window Track option.
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The [[GRCh37/hg19 GRCh38/hg38 Multi-Genome Tutorial]] explains how to use the multi-genome functionality of GenPlay.
<br style="clear: both" />
 
  
[[image:tutorial1_Load_FWT_menu.png|right|thumb|100px|Figure 2: Load Fixed Window Track Menu]]
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It shows how data aligned on hg38 and hg19 can be displayed simultaneously and compared using GenPlay Multi-Genome
After selecting the file, a option window is going to prompt you to enter some information. You can keep the default name for the track. You need to choose a window size of 100 base pair, and sum for the score calculation. Please refer to the documentation page for more information about these options. You can keep the default data precision. But we need to select a strand. Let's start with the 5' strand. You will also need to select the 1st chromosome. To do so, click on the "Modify Selection" button on the bottom right part of the screen and then uncheck all the chromosomes but the first. The figure 2 shows how the screen should like before you click on the OK button.
 
<br style="clear: both" />
 
  
=== Isolate Peaks ===
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'''Note:''' Here is a version for the comparison of hg18 and hg19: [[Multi-Genome Tutorial]].
This step consists in removing the background noise from the track so just the peaks remain.
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To do so, right click on the
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== How to Create a VCF File From a Chain File ==
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The goal of [[How to Create a VCF File From a Chain File|this tutorial]] is to show how to generate a VCF file such as the one used in the [[GRCh37/hg19 GRCh38/hg38 Multi-Genome Tutorial]] from a Chain file that can be downloaded from the UCSC genome browser website.

Latest revision as of 11:18, 22 August 2014

The following tutorials aim to give you some of the basic concept on the track manipulation techniques.

ChIP-Seq Analysis

The objective of the ChIP-Seq Tutorial is to illustrate how GenPlay can be used to isolate peaks from the data generated from a ChIP-Seq experiment.

TimEX Analysis

The TimEX Tutorial illustrates how GenPlay can be used to show timing of replication profiles.

Multi-Genome Analysis

The GRCh37/hg19 GRCh38/hg38 Multi-Genome Tutorial explains how to use the multi-genome functionality of GenPlay.

It shows how data aligned on hg38 and hg19 can be displayed simultaneously and compared using GenPlay Multi-Genome

Note: Here is a version for the comparison of hg18 and hg19: Multi-Genome Tutorial.

How to Create a VCF File From a Chain File

The goal of this tutorial is to show how to generate a VCF file such as the one used in the GRCh37/hg19 GRCh38/hg38 Multi-Genome Tutorial from a Chain file that can be downloaded from the UCSC genome browser website.