Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Book Part Citation - Scopus: 1Arcobacter(Elsevier, 2023) Ceylan,Ç.Arcobacter is a gram-negative, microaerophilic, water- and food-borne emerging pathogen with a spiral shape. The bacterium appears to have metabolic and genomic plasticity properties and is found to be ubiquitously distributed and densely populated in environmental waters. Although not studied in detail this genus presents a potential problem as a gastrointestinal and opportunistic pathogen with inherent difficulties in classification. However, the species represents a wide genomic and metabolic plasticity that could be used in the production of industrially important moieties and for environmental protection purposes. © 2023 Elsevier Inc. All rights reserved.Book Part Citation - Scopus: 20Experimental MicroRNA Detection Methods(Humana Press, 2022) Yaylak, Bilge; Akgül, BünyaminMicroRNAs (miRNAs) are considerably small yet highly important riboregulators involved in nearly all cellular processes. Due to their critical roles in posttranscriptional regulation of gene expression, they have the potential to be used as biomarkers in addition to their use as drug targets. Although computational approaches speed up the initial genomewide identification of putative miRNAs, experimental approaches are essential for further validation and functional analyses of differentially expressed miRNAs. Therefore, sensitive, specific, and cost-effective microRNA detection methods are imperative for both individual and multiplex analysis of miRNA expression in different tissues and during different developmental stages. There are a number of well-established miRNA detection methods that can be exploited depending on the comprehensiveness of the study (individual miRNA versus multiplex analysis), the availability of the sample and the location and intracellular concentration of miRNAs. This review aims to highlight not only traditional but also novel strategies that are widely used in experimental identification and quantification of microRNAs. © 2022, Springer Science+Business Media, LLC, part of Springer Nature.Book Part Citation - Scopus: 4Bacteria: Arcobacter(Elsevier, 2014) Atabay, Halil İbrahim; Corry, Janet E.L.; Ceylan, ÇağatayThe genus Arcobacter currently comprises many phenotypically different species isolated from diverse niches. Although some Arcobacter spp. (particularly, Arcobacter butzleri, Arcobacter skirrowii, and Arcobacter cryaerophilus) are associated with various diseases in humans and animals, their exact epidemiological and pathological role is not completely understood, and few cases of human infection are reported. The primary mode of Arcobacter transmission is thought to occur via contaminated water and food and contact with pets. As some species are difficult to cultivate and all are difficult to identify using conventional biochemical tests, nucleic acid-based techniques such as polymerase chain reaction (PCR) and real-time PCR are increasingly used for their simultaneous detection, identification, and quantification. Their tendency to be resistant to antibiotics, and their ability to colonize food processing environments indicate that they could cause serious disease in the human population, particularly in susceptible individuals with impaired immune response. © 2014 Elsevier Inc. All rights reserved.Conference Object Citation - WoS: 2Citation - Scopus: 2Türkçe Manzara Metni Veri Kümesi(IEEE, 2017) Erdogmus, NesliScene text localization and recognition keeps attracting an increasing interest from researchers due to its valuable advantage in extracting content from real world images and in image retrieval via text search. Nevertheless, due to the fact that the majority of the image datasets that are commonly used in this field is comprised of text in English, the related studies have mostly been limited to a single language. On that account, in order to apply the technologies developed for scene text detection and recognition to Turkish scene text, analyze their performances and to develop Turkish language specific algorithms, a Turkish scene text database is collected for the first time in the literature. In this paper, the contents of this database, shortly called STRIT (Scene Text Recognition In Turkish), are detailed. Additionally, two baseline methods are tested to detect and recognize scene text in Turkish and the preliminary results are presented.