Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mark Bessem"'
Autor:
Isabel Mathilde Houtkamp, Martine van Zijll Langhout, Mark Bessem, Walter Pirovano, Remco Kort
Publikováno v:
Gut Microbiome, Pp 1-25
Externí odkaz:
https://doaj.org/article/83966765a0054c04b203e7480afe8307
Autor:
Isabel Mathilde Houtkamp, Martine van Zijll Langhout, Mark Bessem, Walter Pirovano, Remco Kort
We carried out a comparative analysis between the bacterial microbiota composition of zoo-housed western lowland gorillas and their wild counterparts through 16S rRNA gene amplicon sequencing. In addition, we characterized the carbohydrate-active and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f51c791272afa133e0ac1a4dbf60a4f
https://doi.org/10.1101/2022.11.15.516570
https://doi.org/10.1101/2022.11.15.516570
Autor:
Mark Bessem, Peter van Rijn, I. Bakker, Erik A. Sistermans, Daoud Sie, Elles M. J. Boon, Renee X. de Menezes, Matthew S. Hestand, Marjan M. Weiss
Publikováno v:
Hestand, M S, Bessem, M, van Rijn, P, de Menezes, R X, Sie, D, Bakker, I, Boon, E M J, Sistermans, E A & Weiss, M M 2019, ' Fetal fraction evaluation in non-invasive prenatal screening (NIPS) ', European Journal of Human Genetics, vol. 27, no. 2, pp. 198-202 . https://doi.org/10.1038/s41431-018-0271-7
European Journal of Human Genetics, 27(2), 198-202. Nature Publishing Group
European Journal of Human Genetics, 27(2), 198-202. Nature Publishing Group
An important factor in quality control of non-invasive prenatal screening (NIPS) or testing (NIPT) is a sufficient percentage of fetal DNA to avoid false-negative results. Here we evaluate 14,379 shallow whole-genome sequenced diagnostic NIPS samples
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8150b52a1868be4b51ee73f0a37b7b7c
https://research.vumc.nl/en/publications/17beadb4-f3ef-4e87-832a-c5587b9e6e06
https://research.vumc.nl/en/publications/17beadb4-f3ef-4e87-832a-c5587b9e6e06
Autor:
Mark Bessem, Maarten L. J. Coonen, Joost H.M. van Delft, Jan Polman, Danyel Jennen, Jos C. S. Kleinjans
Publikováno v:
Systems Biomedicine. 2:63-70
In this study, we developed a transcriptomics based human in vitro model for predicting DILI in humans. The transcriptomics data (Affymetrix GeneChip Human Genome U133 Plus 2.0) from primary human hepatocytes were provided by the Japanese Toxicogenom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd7c22357fe1777ac358e29b946b883c
https://doi.org/10.4161/sysb.29400
https://doi.org/10.4161/sysb.29400