Research graph
References from Intestinal microbiota alterations by dietary exposure to chemicals from food cooking and processing. Application of data science for risk prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
Carcinogenicity of consumption of red and processed meat
10.1016/s1470-2045(15)00444-1 · 2015 · External reference
10.1111/j.1349-7006.2004.tb03205.x
10.1111/j.1349-7006.2004.tb03205.x · External reference
10.3390/nu9050514
10.3390/nu9050514 · External reference
Well-Done meat intake, heterocyclic amine exposure, and cancer risk
10.1080/01635580802710741 · 2009 · External reference
Heterocyclic aromatic amines in cooked meat products: causes, formation, occurrence, and risk assessment
10.1111/1541-4337.12186 · 2016 · External reference
Occurrence of heterocyclic aromatic amines in the Swiss diet: analytical method, exposure estimation and risk assessment
10.1080/02652030119545 · 2001 · External reference
Dietary intake of heterocyclic amines in relation to socio-economic, lifestyle and other dietary factors: estimates in a Swedish population
10.1017/s1368980007352518 · 2007 · External reference
Heterocyclic amines, meat intake, and association with colon cancer in a population-based study
10.1093/aje/kwf221 · 2003 · External reference
Dietary exposure to heterocyclic amines in a Chinese population
10.1207/s15327914nc5202_5 · 2005 · External reference
Probabilistic estimates of heterocyclic amines and polycyclic aromatic hydrocarbons concentrations in meats and breads applicable to exposure assessments
10.1016/j.fct.2018.02.002 · 2018 · External reference
10.3390/ijms20082051
10.3390/ijms20082051 · External reference
Polycyclic aromatic hydrocarbons in animal-based foods from Shanghai: bioaccessibility and dietary exposure
10.1080/19440049.2012.694121 · 2012 · External reference
Human dietary exposure to polycyclic aromatic hydrocarbons: a review of the scientific literature
10.1016/j.fct.2015.10.002 · 2015 · External reference
Polycyclic aromatic hydrocarbons in food - scientific opinion of the panel on contaminants in the food chain
2008 · External reference
Unresolved reference
External reference
10.3390/foods8070252
10.3390/foods8070252 · External reference
Association between nitrite and nitrate intake and risk of gastric cancer: a systematic review and meta-analysis
10.12659/msm.914621 · 2019 · External reference
10.1093/carcin/bgy169
10.1093/carcin/bgy169 · External reference
10.3390/nu7125505
10.3390/nu7125505 · External reference
Dietary N -nitroso compounds and risk of colorectal cancer: a case–control study in Newfoundland and Labrador and Ontario, Canada
10.1017/s0007114513003462 · 2014 · External reference
Effect of vacuum roasting on acrylamide formation and reduction in coffee beans
10.1016/j.foodchem.2013.08.047 · 2014 · External reference
10.2903/j.efsa.2011.2133
10.2903/j.efsa.2011.2133 · External reference
10.2903/j.efsa.2015.4104
10.2903/j.efsa.2015.4104 · External reference
Biomarkers of meat and seafood intake: an extensive literature review
10.1186/s12263-019-0656-4 · 2019 · External reference
Unresolved reference
2004 · External reference
Unresolved reference
External reference
10.2903/j.efsa.2012.2938
10.2903/j.efsa.2012.2938 · External reference
10.1042/bcj20160510
10.1042/bcj20160510 · External reference
10.3389/fmicb.2016.00185
10.3389/fmicb.2016.00185 · External reference
10.3389/fcimb.2018.00013
10.3389/fcimb.2018.00013 · External reference
10.3389/fmicb.2020.00973
10.3389/fmicb.2020.00973 · External reference
10.1038/nature07540
10.1038/nature07540 · External reference
Assessment of intestinal microbiota of full-term breast-fed infants from two different geographical locations
10.1016/j.earlhumdev.2011.03.013 · 2011 · External reference
Gut microbiota as important modulator of metabolism in health and disease
2018 · External reference
Intestitnal microbiota and its association with colon cancer and red/processed meat consumption
2020 · External reference
10.1093/jnci/djt300
10.1093/jnci/djt300 · External reference
10.1371/journal.pone.0039743
10.1371/journal.pone.0039743 · External reference
10.1146/annurev-cancerbio-030617-050240
10.1146/annurev-cancerbio-030617-050240 · External reference
A prospective analysis of mucosal microbiome-metabonome interactions in colorectal cancer using a combined MAS 1HNMR and metataxonomic strategy
10.1038/s41598-017-08150-3 · 2017 · External reference
Microbiota profile is different for early and invasive colorectal cancer and is consistent throughout the colon
10.1111/jgh.14868 · 2020 · External reference
The human fecal microbiota metabolizes foodborne heterocyclic aromatic amines by reuterin conjugation and further transformations
10.1002/mnfr.201801177 · 2019 · External reference
Oral exposure to environmental pollutant benzo[a]pyrene impacts the intestinal epithelium and induces gut microbial shifts in murine model
10.1038/srep31027 · 2016 · External reference
10.1017/cbo9781107298019
10.1017/cbo9781107298019 · 2014 · External reference
Unresolved reference
1997 · External reference
10.1007/978-1-4614-6849-3
10.1007/978-1-4614-6849-3 · 2013 · External reference
10.3390/s20092734
10.3390/s20092734 · External reference
10.1016/j.foodres.2018.07.043
10.1016/j.foodres.2018.07.043 · External reference
Exploring the interactions between serum free fatty acids and fecal microbiota in obesity through a machine learning algorithm
10.1016/j.foodres.2018.12.009 · 2019 · External reference
10.1016/j.cell.2015.11.001
10.1016/j.cell.2015.11.001 · External reference
Supervised machine learning-based classification of oral malodor based on the microbiota in saliva samples
10.1016/j.artmed.2013.12.001 · 2014 · External reference
10.1016/j.dld.2020.05.020
10.1016/j.dld.2020.05.020 · External reference
10.1038/s41575-020-0327-3
10.1038/s41575-020-0327-3 · External reference
The semantic web
10.1038/scientificamerican0501-34 · 2001 · External reference
10.1093/database/baw015
10.1093/database/baw015 · External reference
10.1093/database/bax025
10.1093/database/bax025 · External reference
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External reference
Analysis and visualization of disease courses in a semantically-enabled cancer registry
10.1186/s13326-017-0154-9 · 2017 · External reference
What are ontologies, and why do we need them?
10.1109/5254.747902 · 1999 · External reference
10.1038/s41538-018-0032-6 · 2018 · Admitted local publication
ONS: an ontology for a standardized description of interventions and observational studies in nutrition
10.1186/s12263-018-0601-y · 2018 · External reference
Unresolved reference
External reference
10.1038/sdata.2016.18
10.1038/sdata.2016.18 · External reference
Unresolved reference
External reference
10.1109/cbms.2013.6627810
10.1109/cbms.2013.6627810 · External reference
Using Shape Expressions (ShEx) to share RDF data models and to guide curation with rigorous validation. The Semantic Web - 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019
2019 · External reference
Comprehensive analysis of semantic web reasoners and tools: a survey
10.1007/s10639-017-9574-5 · 2017 · External reference
10.1145/1322432.1322433
10.1145/1322432.1322433 · External reference
Wikidata: a free collaborative knowledgebase
10.1145/2629489 · 2014 · External reference
Unresolved reference
External reference
Reproducibility crisis
2016 · External reference