franciscozorrilla/metaGEM
:gem: An easy-to-use workflow for generating context specific genome-scale metabolic models and predicting metabolic interactions within microbial communities directly from metagenomic data
PythonMIT
Stargazers
- AdamDanielHarris
- Ahmed-ShiblNYUAD
- alexOarga
- alienzj@ohmeta
- angelolimetaChalmers University of Technology
- ChristianLieven
- codercahol
- dgiovannelliUniversity of Naples "Federico II"
- dileep-kishoreOak Ridge National Laboratory
- EmmettPengBeijing, China
- fjell-dev
- gibsramenChan-Zuckerberg Biohub
- Guan06MRC Toxicology Unit
- jolespinJ. Craig Venter Institute
- kozo2Tokyo, Japan
- LeeBergstrand@MBLS Inc.
- Lucas-MacielVIB
- lucaspatel
- lungphageJiangxi Agricultural University
- matinnuhamunadaCopenhagen
- maxEntropyProdMBL
- mdlakicMontana State University
- michoug
- MxrconUFPA - Universidade Federal do Pará
- pavlo888
- pichauma
- plpla
- RolandWirthHUN-REN Biological Research Centre
- sandragodinhosilvaiBB @ IST
- shenwei356Chongqing Medical University, China
- slambrechtsINBO (institute for nature and forest research)
- susheelbhanuUK Centre for Ecology & Hydrology
- wdp9966
- yumyaiKasetsart's University
- zckoo007
- zdk123United States