This is the Windows app named KHMN whose latest release can be downloaded as NEG_Leave_all_features_Align.xlsx. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named KHMN with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
KHMN
DESCRIPTION:
Features
- Here, we proposed a general method of a knowledge-based hybrid molecular network (KHMN) to screen and annotate specialized metabolites involved in important biological functions in complex plant extracts. Based on a similar structure with a similar function, KHMN was orientated by heterogeneous MS/MS spectra of the known functional metabolites as initial seeds to trigger molecular networks with untargeted metabolomics MS/MS spectra. Highly efficient capture of the molecular families of seed metabolites could be achieved. Then, structural knowledge (MS fragmentation patterns and biotransformation reactions) was derived from spectra of seed metabolites or metabolic pathways. Then it was integrated into the KHMN and contributed to the attributes of nodes and edges. The integration of captured structural knowledge into the network increased the efficiency and accuracy of annotation propagation and benefitted the annotation of new metabolites
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/khmn/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.