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Guillaume Ramstein

Showing results (1-10 of 8) with videos related to

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Frontiers in Plant Science|April 21, 2023
Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassavaEvan M Long, M Cinta Romay, Guillaume Ramstein, et al.
Molecular Phylogenetics and Evolution|October 3, 2017
Phylogeny, biogeography and character evolution in the tribe Desmodieae (Fabaceae: Papilionoideae), with special emphasis on the New Caledonian endemic generaFlorian Jabbour, Myriam Gaudeul, Josie Lambourdière, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2019
Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequenceJacob D Washburn, Maria Katherine Mejia-Guerra, Guillaume Ramstein, et al.
Plos Genetics|March 21, 2023
Elucidating the patterns of pleiotropy and its biological relevance in maizeMerritt Khaipho-Burch, Taylor Ferebee, Anju Giri, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|August 27, 2021
Predicting phenotypes from genetic, environment, management, and historical data using CNNsJacob D Washburn, Emre Cimen, Guillaume Ramstein, et al.
Heredity|February 17, 2025
Correction: Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding programCathrine Kiel Skovbjerg, Pernille Sarup, Ellen Wahlström, et al.
Heredity|November 28, 2024
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding programCathrine Kiel Skovbjerg, Pernille Sarup, Ellen Wahlström, et al.
The New Phytologist|July 23, 2016
Genome-wide associations with flowering time in switchgrass using exome-capture sequencing dataPaul P Grabowski, Joseph Evans, Chris Daum, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Plant Science|April 21, 2023
Utilizing evolutionary conservation to detect deleterious mutations and improve genomic prediction in cassavaEvan M Long, M Cinta Romay, Guillaume Ramstein, et al.
Molecular Phylogenetics and Evolution|October 3, 2017
Phylogeny, biogeography and character evolution in the tribe Desmodieae (Fabaceae: Papilionoideae), with special emphasis on the New Caledonian endemic generaFlorian Jabbour, Myriam Gaudeul, Josie Lambourdière, et al.
Proceedings of the National Academy of Sciences of the United States of America|March 8, 2019
Evolutionarily informed deep learning methods for predicting relative transcript abundance from DNA sequenceJacob D Washburn, Maria Katherine Mejia-Guerra, Guillaume Ramstein, et al.
Plos Genetics|March 21, 2023
Elucidating the patterns of pleiotropy and its biological relevance in maizeMerritt Khaipho-Burch, Taylor Ferebee, Anju Giri, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|August 27, 2021
Predicting phenotypes from genetic, environment, management, and historical data using CNNsJacob D Washburn, Emre Cimen, Guillaume Ramstein, et al.
Heredity|February 17, 2025
Correction: Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding programCathrine Kiel Skovbjerg, Pernille Sarup, Ellen Wahlström, et al.
Heredity|November 28, 2024
Multi-population GWAS detects robust marker associations in a newly established six-rowed winter barley breeding programCathrine Kiel Skovbjerg, Pernille Sarup, Ellen Wahlström, et al.
The New Phytologist|July 23, 2016
Genome-wide associations with flowering time in switchgrass using exome-capture sequencing dataPaul P Grabowski, Joseph Evans, Chris Daum, et al.
Pageof 1