Change FastQE to version 0.3.1 including corresponding images

Author: VerenaMoo

topics/sequence-analysis/images/quality-control/fastqe-mean-after.png

@@ -181,7 +181,7 @@ To take a look at sequence quality along all sequences, we can use [FASTQE](http
 
 > <hands-on-title>Quality check</hands-on-title>
 >
-> 1. {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.2.6+galaxy2) %} with the following parameters
+> 1. {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.3.1+galaxy0) %} with the following parameters
 >    - {% icon param-files %} *"FastQ data"*: `Reads`
 >    - {% icon param-select %} *"Score types to show"*: `Mean`
 >
@@ -690,7 +690,7 @@ We can examine our trimmed data with FASTQE and/or FastQC.
 
 > <hands-on-title>Checking quality after trimming</hands-on-title>
 >
-> 1. {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.2.6+galaxy2) %}: Re-run **FASTQE** with the following parameters
+> 1. {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.3.1+galaxy0) %}: Re-run **FASTQE** with the following parameters
 >    - {% icon param-files %} *"FastQ data"*: `Cutadapt Read 1 Output`
 >    - {% icon param-select %} *"Score types to show"*: `Mean`
 >
@@ -1124,7 +1124,7 @@ This step is the usual first step for analyses such as RNA-Seq, ChIP-Seq, or any
 Quality control steps are similar for any type of sequencing data:
 
 - Quality assessment with tools like:
-  - *Short Reads*: {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.2.6+galaxy2) %}
+  - *Short Reads*: {% tool [FASTQE](toolshed.g2.bx.psu.edu/repos/iuc/fastqe/fastqe/0.3.1+galaxy0) %}
   - *Short+Long*: {% tool [FASTQC](toolshed.g2.bx.psu.edu/repos/devteam/fastqc/fastqc/0.73+galaxy0) %}
   - *Long Reads*:  {% tool [Nanoplot](toolshed.g2.bx.psu.edu/repos/iuc/nanoplot/nanoplot/1.41.0+galaxy0) %}
   - *Nanopore only*: {% tool [PycoQC](toolshed.g2.bx.psu.edu/repos/iuc/pycoqc/pycoqc/2.5.2+galaxy0) %}