NetCooperate specifications

Unique identifier:
OMICS_12613
Interface:
Command line interface
Input data:
The metabolic networks of two species, each encoded as a directed graph with nodes representing compounds and edges connecting substrates to products.
Operating system:
Unix/Linux, Mac OS, Windows
License:
GNU General Public License version 3.0
Stability:
Stable
Software type:
Package/Module
Restrictions to use:
None
Output data:
The pairwise metrics as well a list of metabolic compounds complementary between the two species.
Programming languages:
Python
Computer skills:
Advanced
Maintained:
Yes

versioning

tutorial arrow
×
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

NetCooperate distribution

download

NetCooperate specifications

Unique identifier:
OMICS_12613
Restrictions to use:
None
Programming languages:
Python
Computer skills:
Basic
Maintained:
Yes
Interface:
Web user interface
Input data:
The metabolic networks of two species, each encoded as a directed graph with nodes representing compounds and edges connecting substrates to products.
License:
GNU General Public License version 3.0
Stability:
Stable

NetCooperate support

Documentation

Maintainer

  • Elhan Borenstein <>
  • Elhan Borenstein <>

forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship

Publications

Institution(s)

Department of Genome Sciences, University of Washington, Seattle, WA, USA; Department of Electrical Engineering & Computer Science, Center for Computational Biology, UC Berkeley, Berkeley, CA, USA; Department of Bioengineering and Therapeutic Sciences, UCSF, San Francisco, CA, USA; Newe Ya’ar Research Center, Agricultural Research Organization, Ramat Yishay, Israel; Department of Computer Science and Engineering, University of Washington, Seattle, WA, USA; Santa Fe Institute, Santa Fe, NM, USA

Funding source(s)

This work was supported in part by New Innovator Award DP2 AT007802-01.

User review

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

User review

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

0 user reviews

star_border star_border star_border star_border star_border
star star star star star

No review has been posted.

Related Tools