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MINNO: An Open Source Software for Refining Metabolic Netwo..:

Ayush Mandwal ; Stephanie L. Bishop ; Mildred Castellanos...
https://figshare.com/articles/journal_contribution/MINNO_An_Open_Source_Software_for_Refining_Metabolic_Networks_and_Investigating_Complex_Network_Activity_Using_Empirical_Metabolomics_Data/25230184. , 1753

Link: https://doi.org/10.1021/acs.analchem.3c04501.s001

RT Journal
T1 <Title>MINNO: An Open Source Software for Refining Metabolic Networks and Investigating Complex Network Activity Using Empirical Metabolomics Data</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonianinsp:oai:figshare.com:article_25230184&Exemplar=1&LAN=DE
				
A1 Ayush Mandwal
A1 Stephanie L. Bishop
A1 Mildred Castellanos
A1 Anika Westlund
A1 George Chaconas
A1 Jörn Davidsen
A1 Ian A. Lewis
YR 1753
K1 Genetics
K1 Ecology
K1 Marine Biology
K1 Computational Biology
K1 Biological Sciences not elsewhere classified
K1 Information Systems not elsewhere classified
K1 uncovering biochemical diversity
K1 relapsing fever diseases
K1 open source software
K1 gene homology mismatches
K1 broader biological system
K1 metabolic pathway visualizations
K1 empirically refined networks
K1 network architecture errors
K1 specific metabolic networks
K1 refine metabolic networks
K1 based mapping tool
K1 frame metabolomics data
K1 genetically constructed networks
K1 metabolic network modeling
K1 refining metabolic networks
K1 study nonmodel organisms
K1 minno allows users
K1 metabolomics modeling approach
K1 metabolic networks
K1 network modeling
K1 genomic networks
K1 powerful tool
K1 empirical refining
K1 constructed species
K1 wide range
K1 understudied species
K1 threeborrelia species
K1 species via
K1 primary literature
K1 nucleotide metabolism
K1 multispecies contexts
K1 minno )
K1 metabolically differentiate
K1 kegg database
K1 hybrid genomics
K1 cause lyme
K1 borrelia genus
JF https://figshare.com/articles/journal_contribution/MINNO_An_Open_Source_Software_for_Refining_Metabolic_Networks_and_Investigating_Complex_Network_Activity_Using_Empirical_Metabolomics_Data/25230184
LK http://dx.doi.org/https://doi.org/10.1021/acs.analchem.3c04501.s001
DO https://doi.org/10.1021/acs.analchem.3c04501.s001
SF ELIB - SuUB Bremen

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