<p>Did you try following the <a href="https://bioconductor.org/packages/release/bioc/html/Gviz.html" rel="nofollow noreferrer">installation instructions</a>?</p>

<p>Try this in R:</p>

<pre><code>source("https://bioconductor.org/biocLite.R")
BiocInstaller::biocLite(c("Gviz"))
</code></pre>

CC BY-SA 4.0
2019-01-09T19:28:43.693Z
Nope, I did not know, each package has its own way of installation. But the first line here was what I was missing.
Soerendip
CC BY-SA 4.0
2019-01-10T21:38:06.483Z
All Bioconductor packages are installed the same way. Though in general, reading the software documentation before use is always a good idea. They've changed the command from my answer a bit for R 3.5 and later (see Alex's answer), but for R < 3.5, this is the general way to install any Biocondoctor package.
Jared Andrews
CC BY-SA 4.0
2019-01-07T20:30:18.450Z
2019-01-07T20:30:18.450Z
Jared Andrews
<pre><code># Install the BiocManager package first
install.packages("BiocManager") 
library("BiocManager")

# Then install the Gviz package
BiocManager::install("Gviz")
</code></pre>

CC BY-SA 4.0
2019-01-08T21:14:16.540Z
2019-01-09T17:21:51.807Z
2019-01-09T17:21:51.807Z
Aedin
<p>Use BiocManager::install()</p>

<pre><code># Code
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Gviz", version = "3.8")
</code></pre>

<p>However, If R &lt; 3.5.0 , please use the following for installing Bioconductor packages.</p>

<pre><code>BiocInstaller::biocLite("Gviz") 
</code></pre>

CC BY-SA 4.0
2019-01-09T13:06:13.280Z
2019-01-09T13:06:13.280Z
Alex Yahiaoui Martinez
<p>I tried to install gviz in a conda environment, but that library seems to be incompatible to python and r. I tried to setup a clean environment using </p>

<pre><code>conda create -n r -c conda-forge r-essentials jupyter
</code></pre>

<p>and then add the library with:</p>

<pre><code>source activate r
conda install -c bioconda bioconductor-gviz
</code></pre>

<p>getting </p>

<blockquote>
  <p>UnsatisfiableError: The following specifications were found to be in conflict:
    - atk</p>
</blockquote>

<p>I remove atk, but now I get:</p>

<blockquote>
  <p>UnsatisfiableError: The following specifications were found to be in conflict:
    - bioconductor-gviz
    - r-bindr</p>
</blockquote>

<p>Does anyone manage to use gviz from within an jupyter notebook?</p>

<p>I also tried to install gviz from a running R-notebook with:</p>

<pre><code>install.package('gviz')
</code></pre>

<blockquote>
  <p>Warning in install.packages :
    package ‘gviz’ is not available (for R version 3.4.3)</p>
</blockquote>

<p>Same when I try 'bioconductor-gviz'.</p>

CC BY-SA 4.0
2019-01-07T13:37:24.853Z
The package is from Bioconductor, from the version you are using you should use:`BiocInstall::biocLite("gviz")` to be able to install it from R terminal
llrs
CC BY-SA 4.0
2019-01-07T14:02:18.523Z
Not sure what that means.
Soerendip
CC BY-SA 4.0
2019-01-07T15:45:32.253Z
That to install a package from Bioconductor you need to use a different command (not `install.package`), but the one I provided
llrs
CC BY-SA 4.0
2019-01-07T16:22:59.680Z
It does not seem to be an accepted command though.Error in `loadNamespace(name) : there is no package called ‘BiocInstall’`
Soerendip
<bioconductor><gviz><bioconda><jupyter>
How can I install bioconductor-gviz and use it in jupyter notebook?
# How can I install bioconductor-gviz and use it in jupyter notebook?

(Asked by: username_0 on 2019-01-07)

I tried to install gviz in a conda environment, but that library seems to be incompatible to python and r. I tried to setup a clean environment using 
conda create -n r -c conda-forge r-essentials jupyter

and then add the library with:
source activate r
conda install -c bioconda bioconductor-gviz

getting 

UnsatisfiableError: The following specifications were found to be in conflict:
    - atk

I remove atk, but now I get:

UnsatisfiableError: The following specifications were found to be in conflict:
    - bioconductor-gviz
    - r-bindr

Does anyone manage to use gviz from within an jupyter notebook?
I also tried to install gviz from a running R-notebook with:
install.package('gviz')


Warning in install.packages :
    package ‘gviz’ is not available (for R version 3.4.3)

Same when I try 'bioconductor-gviz'.

**Tags:** bioconductor, gviz, bioconda, jupyter
> **Comments:**
> **username_1**: The package is from Bioconductor, from the version you are using you should use:`BiocInstall::biocLite("gviz")` to be able to install it from R terminal  
> **username_0**: Not sure what that means.  
> **username_1**: That to install a package from Bioconductor you need to use a different command (not `install.package`), but the one I provided  
> **username_0**: It does not seem to be an accepted command though.Error in `loadNamespace(name) : there is no package called ‘BiocInstall’`  

---

## 3 answers

### Answer by username_2 on 2019-01-07. Score: 3 | Accepted answer

Did you try following the installation instructions?
Try this in R:
source("https://bioconductor.org/biocLite.R")
BiocInstaller::biocLite(c("Gviz"))

> **Comments:**
> **username_0**: Nope, I did not know, each package has its own way of installation. But the first line here was what I was missing.  
> **username_2**: All Bioconductor packages are installed the same way. Though in general, reading the software documentation before use is always a good idea. They've changed the command from my answer a bit for R 3.5 and later (see Alex's answer), but for R < 3.5, this is the general way to install any Biocondoctor package.  

---

### Answer by username_3 on 2019-01-08. Score: 4

# Install the BiocManager package first
install.packages("BiocManager") 
library("BiocManager")

# Then install the Gviz package
BiocManager::install("Gviz")


---

### Answer by username_4 on 2019-01-09. Score: 1

Use BiocManager::install()
# Code
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Gviz", version = "3.8")

However, If R < 3.5.0 , please use the following for installing Bioconductor packages.
BiocInstaller::biocLite("Gviz")


---

