Zobrazeno 1 - 10
of 309
pro vyhledávání: '"Ocean sampling"'
Autor:
Hugo Doré, Jade Leconte, Ulysse Guyet, Solène Breton, Gregory K. Farrant, David Demory, Morgane Ratin, Mark Hoebeke, Erwan Corre, Frances D. Pitt, Martin Ostrowski, David J. Scanlan, Frédéric Partensky, Christophe Six, Laurence Garczarek
Publikováno v:
mSystems, Vol 7, Iss 6 (2022)
ABSTRACT Marine Synechococcus comprise a numerically and ecologically prominent phytoplankton group, playing a major role in both carbon cycling and trophic networks in all oceanic regions except in the polar oceans. Despite their high abundance in c
Externí odkaz:
https://doaj.org/article/a8bd2bc16fe141a083d167cbfd5803c3
Autor:
Anna Kusnezowa, Lars I. Leichert
Publikováno v:
BMC Bioinformatics, Vol 18, Iss 1, Pp 1-11 (2017)
Abstract Background With the development of Next Generation Sequencing technologies, the number of predicted proteins from entire (meta-) genomes has risen exponentially. While for some of these sequences protein functions can be inferred from homolo
Externí odkaz:
https://doaj.org/article/5e541417706a4fe89b2d5de7ee371fd6
Publikováno v:
Genomics, Proteomics & Bioinformatics. 19:958-972
Trace elements are required by all organisms, which are key components of many enzymes catalyzing important biological reactions. Many trace element-dependent proteins have been characterized; however, little is known about their occurrence in microb
Autor:
Hugo Doré, Jade Leconte, Ulysse Guyet, Solène Breton, Gregory K. Farrant, David Demory, Morgane Ratin, Mark Hoebeke, Erwan Corre, Frances D. Pitt, Martin Ostrowski, David J. Scanlan, Frédéric Partensky, Christophe Six, Laurence Garczarek
Publikováno v:
mSystems
mSystems, 2022, 7 (6), pp.ANR-17-CE02-0014-01. ⟨10.1128/msystems.00656-22⟩
mSystems, 2022, 7 (6), pp.ANR-17-CE02-0014-01. ⟨10.1128/msystems.00656-22⟩
Marine Synechococcus comprise a numerically and ecologically prominent phytoplankton group, playing a major role in both carbon cycling and trophic networks in all oceanic regions except in the polar oceans. Despite their high abundance in coastal ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::645d89035dee3fd7964c27e7a0afbf56
https://hal.science/hal-03971301/document
https://hal.science/hal-03971301/document
Publikováno v:
Sensors, Vol 20, Iss 9, p 2515 (2020)
This research presents a novel sample-based path planning algorithm for adaptive sampling. The goal is to find a near-optimal path for unmanned marine vehicles (UMVs) that maximizes information gathering over a scientific interest area, while satisfy
Externí odkaz:
https://doaj.org/article/03a4ce64050a4c8396b7daca3b7e14f2
Akademický článek
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Akademický článek
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Autor:
Lars I. Leichert, Anne F Baumann, Christopher Horst Lillig, Natalie Lupilov, Witali Kusnezow, Anna Kusnezowa, Mehmet Berkmen, Marharyta Varatnitskaya, Manuela Gellert, Martin Eisenacher, Markus-Hermann Koch, Thorsten Masuch, Sebastian Nilewski
Publikováno v:
The Journal of Biological Chemistry
Environmental sequence data of microbial communities now makes up the majority of public genomic information. The assignment of a function to sequences from these metagenomic sources is challenging because organisms associated with the data are often
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2515, p 2515 (2020)
Sensors
Volume 20
Issue 9
Sensors, Vol 20, Iss 2515, p 2515 (2020)
This research presents a novel sample-based path planning algorithm for adaptive sampling. The goal is to find a near-optimal path for unmanned marine vehicles (UMVs) that maximizes information gathering over a scientific interest area, while satisfy
Autor:
Trygve Olav Fossum, Glaucia Moreira Fragoso, Geir Johnsen, Martin Ludvigsen, Ingrid H. Ellingsen, Jo Eidsvik, Morten Omholt Alver, Renato Mendes, Kanna Rajan
Publikováno v:
Journal of Field Robotics
Efficient sampling of coastal ocean processes, especially mechanisms such as upwelling and internal waves and their influence on primary production, is critical for understanding our changing oceans. Coupling robotic sampling with ocean models provid