Flow ships with tasks that do not have all of their dependencies included. On startup Flow will attempt to install the dependencies, but not every system is equipped to install them.
In the case of any difficulties, it is highly recommended to instead use a docker deployment (cluster installations may require singularity instead, which is somewhat still a work-in-progress)Z
Requires Python 2.7 or later.
On startup Flow will attempt to install additional python packages using the command
Requires R 3.2.3 or later.
On startup Flow will attempt to install additional R packages.
There are cascading dependencies, but you can view the core libraries in partek_flow/bin/cnvkit-0.8.5/install.R
If these packages can't be built locally, it may be possible for the user to download them from us (see below).
Requires R 3.0 or later.
On startup Flow will attempt to install additional R packages.
There are cascading dependencies, but you can view the core libraries in partek_flow/bin/deseq_two-3.5/install.R
If these packages can't be built locally, it may be possible for the user to download them from us (see below).
RcppArmadillo may also have dependencies on multi-threading shared objects that may not be on the LD_LIBRARY_PATH
The recommendation is to copy those .so files to a folder and make sure it is available from the LD_LIBRARY_PATH when the server/worker starts.
Additional dynamic libraries (such as libxml2.so) may be missing and we can provide a copy appropriate for the target OS.
Requires Python 2.7 or 3.4 or above
On startup Flow attempts to install using pip
Requires python 3.0 or above
If there are any conflicts with preinstalled python packages, Flow should be configured to run with its own virtual environment:
or
R can usually be installed from the package manager. If the user installs Flow via apt or yum it should already be installed.
For older operating systems R is not available and will need to be installed from source
Currently, we offer a set of R packages compatible with some versions of R
Extract this file in the home directory. (Make .R a symlink if the home directory doesn't have enough free space)
These packages include the dependencies for both CNVkit and DESeq2
When running R diagnostic commands outside flow, it can simplify things if the environment includes a reference to the ~/.R folder:
or load
in ~/.Rprofile
list loaded packages:
get the version:
This is a compiled Perl script (so it has no direct dependency on Perl itself) we have had one report (istem.fr) of it failing to run.
DECoN comes pre-installed in the flow_dna container registry.partek.com/flow_dna
Documentation on installing DECoN is available here: https://github.com/RahmanTeam/DECoN/blob/master/DECoN-v1.0.2.pdf
DECoN requires R version 3.1.2
It must be installed under /opt/R-3.1.2 or set the DECON_R environment variable to its folder
Download DECoN
https://github.com/RahmanTeam/DECoN/archive/refs/tags/v1.0.2.zip
and install it under /opt/DECoN or set the DECON_PATH environment variable to its folder
You may need to add
to Linux/packrat/packrat.opts
See also: Minimum System Requirements
If you need additional assistance, please visit our support page to submit a help ticket or find phone numbers for regional support.