Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Arnaud Motz"'
Autor:
Jia Li, Marie-Anne Poursat, Damien Drubay, Arnaud Motz, Zohra Saci, Antonin Morillon, Stefan Michiels, Daniel Gautheret
Publikováno v:
PLoS Computational Biology, Vol 11, Iss 11, p e1004583 (2015)
We address here the issue of prioritizing non-coding mutations in the tumoral genome. To this aim, we created two independent computational models. The first (germline) model estimates purifying selection based on population SNP data. The second (som
Externí odkaz:
https://doaj.org/article/43ad7ce796894e53aab8462d3e42b341
Autor:
Marie-Anne Poursat, Damien Drubay, Arnaud Motz, Stefan Michiels, Zohra Saci, Daniel Gautheret, Antonin Morillon, Jia Li
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, 2015, 11 (11), pp.e1004583. ⟨10.1371/journal.pcbi.1004583⟩
PLoS Computational Biology, Public Library of Science, 2015, 11 (11), pp.e1004583. 〈10.1371/journal.pcbi.1004583〉
PLoS Computational Biology, Public Library of Science, 2015, 11 (11), pp.e1004583. ⟨10.1371/journal.pcbi.1004583⟩
PLoS Computational Biology, Vol 11, Iss 11, p e1004583 (2015)
PLoS Computational Biology, 2015, 11 (11), pp.e1004583. ⟨10.1371/journal.pcbi.1004583⟩
PLoS Computational Biology, Public Library of Science, 2015, 11 (11), pp.e1004583. 〈10.1371/journal.pcbi.1004583〉
PLoS Computational Biology, Public Library of Science, 2015, 11 (11), pp.e1004583. ⟨10.1371/journal.pcbi.1004583⟩
PLoS Computational Biology, Vol 11, Iss 11, p e1004583 (2015)
We address here the issue of prioritizing non-coding mutations in the tumoral genome. To this aim, we created two independent computational models. The first (germline) model estimates purifying selection based on population SNP data. The second (som
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2618ce3f025b43984013d64042bc6ec
https://hal.sorbonne-universite.fr/hal-01274705/document
https://hal.sorbonne-universite.fr/hal-01274705/document