Optimus | Workflow for LC-MS feature analysis and spatial mapping
kandi X-RAY | Optimus Summary
kandi X-RAY | Optimus Summary
Optimus is a workflow for LC-MS-based untargeted metabolomics. It can be used for feature detection, quantification, filtering (e.g. removing background features), annotation, normalization and, finally, for spatial mapping of detected molecular features in 2D and 3D using the `ili app. Optimus employes the state-of-the-art LC-MS feature detection and quantification algorithms by OpenMS which are joined into a handy pipeline with a modern workflow management software KNIME with additional features implemented by us. The workflow is being developed by Alexandrov Team at EMBL Heidelberg (contact information) in collaboration with the Dorrestein Lab at UCSD.
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Optimus Key Features
Optimus Examples and Code Snippets
Community Discussions
Trending Discussions on Optimus
QUESTION
I have a bit of a hacky setup on my laptop where I use optimus-manager
to configure my screen layout at X startup based on whether an external monitor is connected or not. If it is, I only want to use the external monitor and not the laptop monitor, but because of a limitation of NVIDIA drivers, I need to leave my laptop monitor on, and just lower the backlight brightness. See my /etc/optimus-manager/xsetup-hybrid.sh
for how this works (eDP-1
is my laptop screen, and HDMI-1-0
is my external monitor):
ANSWER
Answered 2021-Mar-19 at 21:07It's likely apps are being displayed where the mouse currently resides. You could use xdotool to ensure mouse is on desired display to begin with.
QUESTION
I am using Python request module to get API response. The response is should be JSON format. From the response how do I retrieve the specific value?
Example of API response:
...ANSWER
Answered 2021-Mar-01 at 10:37change this:
QUESTION
ANSWER
Answered 2021-Jan-11 at 11:14I don't think you can embed WebGL HTML5 content into a PDF.
QUESTION
I am using OpenJDK 11.0.5 java version and couchbase java client version 2.6.0. It works when called through a main class but when I am hitting through my api, it throws NoClassDefFoundError. Full stack trace below :
I am just calling a method from another jar, no modifications whatsoever. The jar works well separately. I checked my code against the master branch, no changes in that.
I tried upgrading the couchbase client version to latest 3.x.x but in vain. Can anyone please suggest what I am missing?
...ANSWER
Answered 2020-Aug-27 at 12:14Solved it. The problem was due to multiple versions of couchbase java-client. The main application has one version and the jar has other. Made all the java-client versions consistent and it worked. I used 2.6.0 as the java-client version.
QUESTION
ANSWER
Answered 2020-Aug-05 at 11:24Your problem is in getTableData
method.
First, you have to initialise tableData
inside for, you don't have to use a global variable. --> Problem 1 in code
Second, use invalidate (i don't know is this is totally necessary) for invalidate cached data in rows and, in the end, use table.draw. --> Problem 2 in code
QUESTION
enter image description herei reinstall npm and i have this issue:Unknown error: Error: No valid exports main found for 'D:\travail\optimus\src\main\ui\node_modules\uuid' Angular cli v 1.7.3 Node v 13.6
...ANSWER
Answered 2020-Jul-10 at 11:22As I know that Nodejs version v13 had some issues. Use v12.16.3 and it's working. Either use latest v14.2.0 or official LTS v12.16.3
QUESTION
Whenever I create multiple students, add them to the studentclass Hashtable, and try to print the hashtable(or perform any action on it) it only holds the last Student entered.
EX: Created Students: John Taylor, Timmy Turner, Optimus Prime PrintHastable: {6=Optimus Prime ,4=Optimus Prime, 2=Optimus Prime}
How can I get the hashtable to hold all entered values as opposed to just the last one?
School Class public class School{
...ANSWER
Answered 2020-Jul-03 at 12:51Your problem has nothing to do with HashTable
.
Your Student
class has two critical errors:
You made all its member
static
which means they exist only once - new variables are not create when you create new instance of this class. Callingnew Stident
will do nothing for you, you will always overwrite any previous data.Your constructor has the assignments backwards:
Instead of storing values passed in constructor parameters in class members you do the opposite!
You store contents of class members in parameters, basically throwing all your data in to the trash bin.
You must fix both problems for your program to work!
QUESTION
I started working on a github project(a logic gate simulator) with gtkmm and epoxy. I have an optimus laptop with debian buster and nvidia-bumblebee drivers installed and everything works fine except that if i start the program using optirun or primusrun, neither the glArea->queue_render
, nor glArea->queue_draw
function seems to work. I have to resize the window in order to rerender the glArea widget. Also sometimes when I restart the system and compile the program it wont start with bumblebee at all and outputs the following error:
311-0-no gl implementation is available
It might by something with my system, but optirun and primusrun usually works fine.
Any Idea what might be the cause of this problem?
the renderer class:
...ANSWER
Answered 2020-May-19 at 18:00OpenGL is poorly integrated with GTK+3, for example on OS X, you'll have this error displayed because OpenGL is simply not implemented. Maybe this is the same case for you
In addition in gtkmm-3.18 a bug (fixed since this version) displaying this error when GLArea class was derived. But this is not your case.
If that may help you I have a similar application mixing OpenGL/GTKmm in Lecrapouille/SimTaDyn I guess this will give you the same error.
QUESTION
com/jenssegers/optimus id obfuscation. It works fine but in the policy it doesn't works well when I implement it.
If I remove the policy it works fine. My ProductPolicy
...ANSWER
Answered 2019-Mar-16 at 06:43Since you are using Route Model Binding, Laravel will search for a Product with key and will pass that model instance to show
method of your controller. If you don't want this, then change show
method to something like this:
QUESTION
I am using net/http
library in 'Go' to make an HTTP GET
request. In the response, i get 12 headers. But when i run the exact same query through postman, i get 16 headers. One of those missing is 'Content-Encoding'. I understand this must be a CORS issue.
But since i have not set the header Accept-Encoding: gzip
in my request, and i am still getting the gzip encoding in response, the Go transport is not automatically decompressing the response for me. So, i need to be able to manually detect the encoding and then decompress it. But, i cannot detect if the 'Content-Encoding' header is missing in the response.
Here is my code where i try to do this:
...ANSWER
Answered 2017-May-19 at 08:21I gave in to the stubbornness of the uber api and added another request header, req.Header.Add("Accept-Encoding", "gzip")
.
Now i am getting the response header "Content-Encoding": "gzip"
, although i am still getting an undecipherable response body, but that's beyond the scope of this question.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Optimus
Go to the Releases section of this repository, download a zip archive with the latest Optimus version and unpack it to any directory on your computer. Then, follow the instruction for your OS:. Windows users: open the installer subdirectory and double-click win_installer.cmd. It should install KNIME and Python automatically. During the installation, you will be prompted to select KNIME installation directory via a graphical window. macOS Users: open your Terminal, navigate to the installer subdirectory and execute sudo bash mac_installer.sh.
Launch KNIME, click File menu and select Preferences. A Preferences dialog should appear.
In the sidebar of the dialog, expand the KNIME item and select its Python sub-item.
Click Apply.
If no error messages are shown in the dialog, Python distribution was recognized by KNIME successfully, and no further actions are needed. Otherwise, proceed with the following steps.
Click Browse... and select file - Windows users: C:\Users\<user name>\AppData\Local\OptimusAnaconda\python - macOS users: /Users/<user name>/OptimusMiniconda/bin/python
Click OK. If no errors are displayed, you can proceed to Installing and updating workflow section.
KNIME Analytics Platform 64-bit. Note, that the procedure described above should be completed only once. So, if you get a new version of the workflow in the future, all you'll have to do is just open it with KNIME. As soon as the steps above are accomplished, your environment is ready to run the workflow. Possible Python compatibility issues: If you have several Python installations in your system, please make sure that KNIME detected the correct one. To do this, go to File => Preferences, then type "python" in the filter box. You should see two items at the left-hand side of the dialog: KNIME > Python. Click at Python and check that there're no error messages appear. If there're any, press Browse... and navigate to the python executable that was called when installing modules at the 3rd step. If you followed the instructions above precisely, you can get a path to the needed python executable by executing which python in Linux/macOS terminal or where python in Windows command prompt.
Download and install Python 2.7 64-bit if you don't have installed (it can be the case on Windows). You can download it from the official Python Downloads Page.
You can check easily if the needed Python distribution is already installed by typing python -V in your command prompt. You expect to see the output line starting with "Python 2.7". The second part of the version check is determining a bit version of your python interpreter. Follow this instruction to know whether you have a 64-bit Python or not.
Windows users: Python installation directory might not be included to your Path environment variable. That's why you might get an error message upon executing python in command prompt although it's installed. To fix this, you should add <Python_installation_directory> to Path as well as <Python_installation_directory\Scripts>. By default, these directories are C:\Python27 and C:\Python27\Scripts. You can find an instruction on changing Path variable here.
If you know you have a Python distribution installed, but find steps above too complicated, just install another Python interpreter of the needed version. Multiple versions can co-exist on the same computer fine. However, remember the directory where you install it.
Install a few Python modules needed for interaction between KNIME and Python. You can do this by executing the command below in your command prompt.
Windows users: Before, you should download and install a Microsoft C++ Complier. One of those Python modules depends on it. pip install six pandas protobuf pymspec pyopenms
Others: Before, make sure you have pip package manager available on your workstation. If you don't, execute sudo easy_install pip in the terminal to install it. sudo pip install six pandas protobuf pymspec pyopenms
Download and install KNIME Analytics Platform 64-bit. Select a package according to your operating system on the official KNIME Downloads Page.
Note: If you already have KNIME installed, make sure that its version is not older than 2.12.*. The workflow hasn't been tested with older versions.
Launch KNIME and install additional extensions.
Go to File => Install KNIME Extensions.... Available software dialog should open after this.
Check the following items in the list of available extensions: * OpenMS * KNIME Python Integration * KNIME Quick Forms (legacy) * KNIME Virtual Nodes * KNIME JavaScript Views
Proceed with the installation. You'll be asked to accept the terms of GPL license at the end.
Restart KNIME after the installation is finished.
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