Marco C A M Bink
Overview
Explore the profile of Marco C A M Bink including associated specialties, affiliations and a list of published articles.
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36
Citations
780
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Recent Articles
1.
Hernandez-Banque C, Jove-Junca T, Crespo-Piazuelo D, Gonzalez-Rodriguez O, Ramayo-Caldas Y, Esteve-Codina A, et al.
Front Immunol
. 2023 Oct;
14:1250942.
PMID: 37781386
C-reactive protein (CRP) is an evolutionary highly conserved protein. Like humans, CRP acts as a major acute phase protein in pigs. While regulatory mechanisms have been extensively studied in humans,...
2.
Barros C, Derks M, Mohr J, Wood B, Crooijmans R, Megens H, et al.
Gigascience
. 2023 Jul;
12.
PMID: 37489751
Background: The domesticated turkey (Meleagris gallopavo) is a species of significant agricultural importance and is the second largest contributor, behind broiler chickens, to world poultry meat production. The previous genome...
3.
Crespo-Piazuelo D, Acloque H, Gonzalez-Rodriguez O, Mongellaz M, Mercat M, Bink M, et al.
Gigascience
. 2023 Jun;
12.
PMID: 37354463
Background: In humans and livestock species, genome-wide association studies (GWAS) have been applied to study the association between variants distributed across the genome and a phenotype of interest. To discover...
4.
Heidaritabar M, Bink M, Dervishi E, Charagu P, Huisman A, Plastow G
J Anim Breed Genet
. 2023 Mar;
140(4):413-430.
PMID: 36883263
Fat depth (FD) and muscle depth (MD) are economically important traits and used to estimate carcass lean content (LMP), which is one of the main breeding objectives in pig breeding...
5.
Eekhout I, van Buuren S, Visser B, Bink M, Huisman A
Sci Rep
. 2023 Jan;
13(1):952.
PMID: 36653404
Intensive longitudinal data can be used to explore important associations and patterns between various types of inputs and outcomes. Nonlinear relations and irregular measurement occasions can pose problems to develop...
6.
Heidaritabar M, Huisman A, Krivushin K, Stothard P, Dervishi E, Charagu P, et al.
Front Genet
. 2022 Oct;
13:1022681.
PMID: 36303553
Imputed whole-genome sequence (WGS) has been proposed to improve genome-wide association studies (GWAS), since all causative mutations responsible for phenotypic variation are expected to be present in the data. This...
7.
Perez B, Bink M, Svenson K, Churchill G, Calus M
G3 (Bethesda)
. 2022 Sep;
12(11).
PMID: 36161485
Recent developments allowed generating multiple high-quality 'omics' data that could increase the predictive performance of genomic prediction for phenotypes and genetic merit in animals and plants. Here, we have assessed...
8.
Perez B, Bink M, Svenson K, Churchill G, Calus M
G3 (Bethesda)
. 2022 Feb;
12(4).
PMID: 35166767
We compared the performance of linear (GBLUP, BayesB, and elastic net) methods to a nonparametric tree-based ensemble (gradient boosting machine) method for genomic prediction of complex traits in mice. The...
9.
Horgan G, Song Y, Glasbey C, van der Heijden G, Polder G, Anja Dieleman J, et al.
Funct Plant Biol
. 2020 Jun;
42(5):486-492.
PMID: 32480694
High-throughput automated plant phenotyping has recently received a lot of attention. Leaf area is an important characteristic in understanding plant performance, but time-consuming and destructive to measure accurately. In this...
10.
Vanderzande S, Howard N, Cai L, da Silva Linge C, Antanaviciute L, Bink M, et al.
PLoS One
. 2019 Jun;
14(6):e0210928.
PMID: 31246947
High-quality genotypic data is a requirement for many genetic analyses. For any crop, errors in genotype calls, phasing of markers, linkage maps, pedigree records, and unnoticed variation in ploidy levels...