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In Silico Biology|April 21, 2009
Specificity and sensitivity of PROMIR, ERPIN and MIR-ABELA in predicting pre-microRNAs in the chicken genomeBram Sebastian, Samuel E AggreyBioinformatics and Biology Insights|May 7, 2013
miR-Explore: Predicting MicroRNA Precursors by Class Grouping and Secondary Structure Positional AlignmentBram Sebastian, Samuel E AggreyGenetics, Selection, Evolution : GSE|June 30, 2010
Genetic properties of feed efficiency parameters in meat-type chickensSamuel E Aggrey, Arthur B Karnuah, Bram Sebastian, et al.Growth, Development, and Aging : GDA|May 13, 2003
Dynamics of relative growth rate in Japanese quail lines divergently selected for growth and their controlSamuel E AggreyGrowth, Development, and Aging : GDA|August 20, 2008
Accuracy of growth model parameters: effects of frequency and duration of data collection, and missing informationSamuel E AggreyPoultry Science|September 19, 2013
Dissection of Koch's residual feed intake: implications for selectionSamuel E Aggrey, Romdhane RekayaIn Silico Biology|April 14, 2006
Identification of candidate genes at quantitative trait loci on chicken chromosome Z using orthologous comparison of chicken, mouse, and human genomesGeorgina A Ankra-Badu, Samuel E AggreyPoultry Science|August 21, 2013
Experiences with a single-step genome evaluationIgnacy Misztal, Samuel E Aggrey, William M MuirAnimals : an Open Access Journal From MDPI|January 20, 2021
Increasing Fat Deposition Via Upregulates the Transcription of Peroxisome Proliferator-Activated Receptor Gamma in Native Crossbred ChickensSupanon Tunim, Yupin Phasuk, Samuel E Aggrey, et al.Animal Bioscience|April 17, 2020
Gene expression of fatty acid binding protein genes and its relationship with fat deposition of Thai native crossbreed chickensSupanon Tunim, Yupin Phasuk, Samuel E Aggrey, et al.Pageof 8