Blättern Fakultät für Agrarwissenschaften (inkl. GAUSS) nach "Schmitt, Armin Prof. Dr." Betreuer
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Modern breeding informatics approaches to optimise breeding of rhizomania resistance in sugar beet (Beta vulgaris L.) and its genomic prediction
(2024-04-26)Rhizomania, a viral disease caused by the Beet necrotic yellow vein virus (BNYVV), is considered the most destructive disease in sugar beet (Beta vulgaris L.). Since no plant protection against rhizomania is currently ... -
Deciphering the molecular mechanisms underlying complex traits using bioinformatics and computational biology approaches
(2022-12-06)With the advent of high-throughput sequencing technologies, multi omics studies (genomics, transcriptomics, proteomics, and metabolomics) are becoming increasingly popular to decipher the molecular patterns in association ... -
Identification of regulatory SNPs and epistatic SNP pairs using deep learning and information theory
(2022-08-24)In the last two decades, new technologies have made DNA genotyping and sequencing far more time and cost efficient. The resulting tremendous increase in the amount of available genomic data allows for a deeper understanding ... -
Deciphering the genetic background of quantitative traits using machine learning and bioinformatics frameworks
(2021-10-08)In this thesis, I developed two frameworks that can help highlight the genetic mechanisms underlying quantitative traits. In this regard, my focus was to design efficient methodologies to discover genotype-phenotype ... -
Identification of candidate signature genes and key regulators associated with trypanotolerance in the Sheko breed
(2020-05-19)African Animal Trypanosomiasis (AAT) is caused by a protozoan parasite that affects the health of livestock. Livestock production in Ethiopia is severely hampered by AAT and various controlling measures were not successful ...