Blar i Department of Informatics på forfatter "Yadetie, Fekadu"
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Application of quantitative transcriptomics in evaluating the ex vivo effects of per- and polyfluoroalkyl substances on Atlantic cod (Gadus morhua) ovarian physiology
Khan, Essa Ahsan; Zhang, Xiaokang; Hanna, Eileen Marie; Yadetie, Fekadu; Jonassen, Inge; Goksøyr, Anders; Arukwe, Augustine (Journal article; Peer reviewed, 2021)Because of their global consumption and persistence, per- and polyfluoroalkyl substances (PFASs), are ubiquitously distributed in the environment, as well as in wildlife and humans. In the present study, we have employed ... -
Quantitative transcriptomics, and lipidomics in evaluating ovarian developmental effects in Atlantic cod (Gadus morhua) caged at a capped marine waste disposal site
Khan, Essa Ahsan; Zhang, Xiaokang; Hanna, Eileen Marie; Bartosova, Zdenka; Yadetie, Fekadu; Jonassen, Inge; Goksøyr, Anders; Arukwe, Augustine (Journal article; Peer reviewed, 2020)In the present study, a previously capped waste disposal site at Kollevåg (Norway) was selected to study the effects of contaminant leakage on biomarkers associated with Atlantic cod (Gadus morhua) reproductive endocrinology ... -
ReCodLiver0.9: Overcoming Challenges in Genome-Scale Metabolic Reconstruction of a Non-model Species
Hanna, Eileen Marie; Zhang, Xiaokang; Eide, Marta; Fallahi, Shirin; Furmanek, Tomasz; Yadetie, Fekadu; Zielinski, Daniel Craig; Goksøyr, Anders; Jonassen, Inge (Journal article; Peer reviewed, 2020-11)The availability of genome sequences, annotations, and knowledge of the biochemistry underlying metabolic transformations has led to the generation of metabolic network reconstructions for a wide range of organisms in ... -
XHM: A system for detection of potential cross hybridizations in DNA microarrays
Flikka, Kristian; Yadetie, Fekadu; Lægreid, Astrid; Jonassen, Inge (Peer reviewed; Journal article, 2004-08-27)Background: Microarrays have emerged as the preferred platform for high throughput gene expression analysis. Cross-hybridization among genes with high sequence similarities can be a source of error reducing the reliability ...