Gå rett til innhold
<
<
Tristan

Tristan Cordier

Forsker II

trco@norceresearch.no
+47 56 10 75 13
Jahnebakken 5, 5007 Bergen, Norway

Tristan Cordier

Divisjon

Klima og miljø

Forskergrupper

Molekylær økologi og paleogenomikk - MEP

Mer info om Tristan

Se profil i Cristin

Åpne CV

Se alle prosjekter
Publikasjoner
COBRA Master Class: Providing deep-sea expedition leadership training to accelerate early career advancement – Frontiers in Marine Science 2023
Machine learning in marine ecology: an overview of techniques and applications – ICES Journal of Marine Science 2023
Sedimentary ancient DNA: a new paleogenomic tool for reconstructing the history of marine ecosystems – Frontiers in Marine Science 2023
Arctic Paleoceanography Cruise KH21-234 with R/V Kronprins Haakon – NORCE Norwegian Research Centre 2022
Patterns of eukaryotic diversity from the surface to the deep-ocean sediment – Science Advances 2022
PaleoEcoGen: Unlocking the power of ancient environmental DNA to understand past ecological trends – Past Global Changes Magazine 2021
Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods – Science of the Total Environment 2021
Eukaryotic biodiversity and spatial patterns in the Clarion-Clipperton Zone and other abyssal regions: insights from sediment DNA and RNA metabarcoding – Frontiers in Marine Science 2021
Scientific and budgetary tradeoffs between morphological and molecular methods for deep-sea biodiversity assessment – Integrated Environmental Assessment and Management 2021
Microbial community diversity and composition in river sediments contaminated with tetrabromobisphenol A and copper – Chemosphere 2021
Benthic monitoring of oil and gas offshore platforms in the North Sea using environmental DNA metabarcoding – Molecular Ecology 2021
Monitoring the ecological status of rivers with diatom eDNA metabarcoding: a comparison of taxonomic markers and analytical approaches for the inference of molecular diatom index – Molecular Ecology 2021
Supervised machine learning is superior to indicator value inference in monitoring the environmental impacts of salmon aquaculture using eDNA metabarcodes – Molecular Ecology 2021
Se alle publikasjoner på Cristin