Related references
Note: Only part of the references are listed.Lilikoi V2.0: a deep learning-enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data
Xinying Fang et al.
GIGASCIENCE (2021)
Ranking Metabolite Sets by Their Activity Levels
Karen McLuskey et al.
METABOLITES (2021)
Popularity and performance of bioinformatics software: the case of gene set analysis
Chengshu Xie et al.
BMC BIOINFORMATICS (2021)
Improving lipid mapping in Genome Scale Metabolic Networks using ontologies
Nathalie Poupin et al.
METABOLOMICS (2020)
1H nuclear magnetic resonance-based metabolic profiling of cerebrospinal fluid to identify metabolic features and markers for tuberculosis meningitis
Peixu Zhang et al.
INFECTION GENETICS AND EVOLUTION (2019)
PathMe: merging and exploring mechanistic pathway knowledge
Daniel Domingo-Fernandez et al.
BMC BIOINFORMATICS (2019)
High-fat diet fuels prostate cancer progression by rewiring the metabolome and amplifying the MYC program
David P. Labbe et al.
NATURE COMMUNICATIONS (2019)
The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling
Sarah Mubeen et al.
FRONTIERS IN GENETICS (2019)
Metabolomics analysis of human acute graft-versus-host disease reveals changes in host and microbiota-derived metabolites
David Michonneau et al.
NATURE COMMUNICATIONS (2019)
The BioCyc collection of microbial genomes and metabolic pathways
Peter D. Karp et al.
BRIEFINGS IN BIOINFORMATICS (2019)
Consistency, Inconsistency, and Ambiguity of Metabolite Names in Biochemical Databases Used for Genome-Scale Metabolic Modelling
Nhung Pham et al.
METABOLITES (2019)
ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases (vol 4, 43, 2018)
Daniel Domingo-Fernandez et al.
NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2019)
The BioStudies database-one stop shop for all data supporting a life sciences study
Ugis Sarkans et al.
NUCLEIC ACIDS RESEARCH (2018)
Evaluation and comparison of bioinformatic tools for the enrichment analysis of metabolomics data
Anna Marco-Ramell et al.
BMC BIOINFORMATICS (2018)
Serum metabolomic profiles associated with postmenopausal hormone use
Victoria L. Stevens et al.
METABOLOMICS (2018)
iPath3.0: interactive pathways explorer v3
Youssef Darzi et al.
NUCLEIC ACIDS RESEARCH (2018)
MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis
Jasmine Chong et al.
NUCLEIC ACIDS RESEARCH (2018)
Relationships between digestive efficiency and metabolomic profiles of serum and intestinal contents in chickens
Stephane Beauclercq et al.
SCIENTIFIC REPORTS (2018)
Mind the Gap: Mapping Mass Spectral Databases in Genome-Scale Metabolic Networks Reveals Poorly Covered Areas
Clement Frainay et al.
METABOLITES (2018)
Multi-omics analysis identifies ATF4 as a key regulator of the mitochondrial stress response in mammals
Pedro M. Quiros et al.
JOURNAL OF CELL BIOLOGY (2017)
Genomewide landscape of gene-metabolome associations in Escherichia coli
Tobias Fuhrer et al.
MOLECULAR SYSTEMS BIOLOGY (2017)
Transcriptomic and metabolomic data integration
Rachel Cavill et al.
BRIEFINGS IN BIOINFORMATICS (2016)
The metabolomics of asthma control: a promising link between genetics and disease
Michael J. McGeachie et al.
IMMUNITY INFLAMMATION AND DISEASE (2015)
Causal analysis approaches in Ingenuity Pathway Analysis
Andreas Kraemer et al.
BIOINFORMATICS (2014)
Metabolite identification: are you sure? And how do your peers gauge your confidence?
Darren J. Creek et al.
METABOLOMICS (2014)
BioServices: a common Python package to access biological Web Services programmatically
Thomas Cokelaer et al.
BIOINFORMATICS (2013)
Critical assessment of human metabolic pathway databases: a stepping stone for future integration
Miranda D. Stobbe et al.
BMC SYSTEMS BIOLOGY (2011)
Proposed minimum reporting standards for chemical analysis
Lloyd W. Sumner et al.
METABOLOMICS (2007)